SlideShare a Scribd company logo
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 04 Issue: 12 | Dec-2017 www.irjet.net p-ISSN: 2395-0072
© 2017, IRJET | Impact Factor value: 6.171 | ISO 9001:2008 Certified Journal | Page 546
Performance Evaluation of Iterative Receiver Using 16-QAM and 16-
PSK Modulation Techniques in OWC
M Srikanth1, P Rangaswamy2
1M.Tech Student, Dept of ECE, Sreenivasa College of Engineering & Technology.
2Associate Professor, Department of ECE , Sreenivasa College of Engineering & Technology, Kurnool,
Andhra pradesh.
---------------------------------------------------------------------***---------------------------------------------------------------------
Abstract - Now a day’s rapidly growing demand for high
data rate in wireless communications applications and the
significant increase of the number of users, theradiofrequency
(RF) spectrum become one of the rare resources in the world.
To extract non negative signals in optical wireless
communication (OWC) systems, flipped orthogonal frequency
division multiplexing (Flip-OFDM) transmits positive and
negative parts of the signal more than two backtobackOFDM
subframes (positive sub frame and negative subframe,
individually). As the conventional receiver for Flip-OFDM
transmit the data by subtracting the negative frame from the
positive subframe. Then the signal analysis shows that the
information will be transmitted by both the subframes. But in
conventional the data loss will be there. To overcome this
problem we are proposed an iterative receiver to increase the
performance of FLIP-OFDM by abusing the signal in two
frames. The performance results areverifiedwith16-QAMand
16-PSK at the initial step of OFDM transmitter. So our
simulation results show that the proposed iterative receiver
provides significant bit error rate (BER) compare to
conventional receiver.
Key Words: Iterative receiver, Flip-OFDM, OFDM
Transmitter, BER, Optical wireless communication (OWC).
1. INTRODUCTION
With the widespread organization of light deployment
diodes (LEDs), optical wireless communication (OWC) has
pulled an increasing interest in educated community and
industry recently [1]. Because of its distinctadvantagessuch
as rich spectrum resources and high security purpose, OWC
has replaces attractive alternate to radio frequency (RF)
systems[2]. To accomplish high symbol rates and mitigate
inter-symbol interference (ISI), orthogonal frequency
division multiplexing (OFDM) has been utilized in OWC[3] –
[5]. Since intensity modulation anddirectdetection(IM/DD)
is continuously utilized as a part of OWC frameworks, the
transmitted signals must bereal andnonnegative.Toresolve
the issue of bipolarity in OFDM signals,a fewOFDMmethods
have been proposed for OWC. They are direct current (DC)
optical OFDM (DCO-OFDM) [6], asymmetrically clipped
optical OFDM (ACO-OFDM) [7], along with pulse-amplitude-
modulated discrete multi tone (PAM-DMT) [8].
DCO-OFDM adds a DC level to the OFDM symbols, This
increases the power dissipation of the signal significantly.
ACO-OFDM and PAM-DMT have no need of DC bias due to
clipping operation, yet each has only half the spectral
efficiency of DCO-OFDM. The authors in [9] introduced a
novel OFDM procedure named as Flip-OFDM in which
positive and negative parts of the signals are separately
transmitted two consecutive OFDM subframes. In [10],
authors demonstrated that Flip-OFDM can be modified to
approach the spectral efficiency of DCO-OFDM with no
biasing, it contributes to the practical applications of Flip-
OFDM in OWC.
In the conventional receiver for Flip-OFDM, the
information is recovered by subtracting the negative signal
frame from the positive signal frame [9]. This procedure is
basic and straightforward. In any case, it expands the noise
variance of the receiver symbols, making the performance
much worse than that of bipolar OFDM with the same
modulation scheme. To enhance the performance of Flip-
OFDM, a time-domain noise filtering technique was
introduced in [11] and investigated in [12]. Of course, the
algorithm does not make full utilization of the signal
structures. Here in this letter, an iterative receiver is
proposed for Flip- OFDM by completely exploiting the
structures of the received signals. Simulations confirm that
the proposed iterative receiver is superior to different
receivers.
2. Related Work
2.1 Orthogonality of OFDM
In communication model of the orthogonal
frequency division multiplexing (OFDM), used sub carriers
are orthogonal to each other. The Orthogonality helpful in
preventing the overlapping between the sub carriers in the
respective nature of frequency domain. The accuracy of
communication model is simply based on how effectively
utilizes the bandwidth and this is technically named as
spectral efficiency or bandwidth efficiency, the utilized
bandwidth efficiency is free of Inter carrier interference and
also the absence of Inter carrier interference (ICI) is mainly
due to usage of Orthogonality in orthogonal frequency
division multiplexing.
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 04 Issue: 12 | Dec-2017 www.irjet.net p-ISSN: 2395-0072
© 2017, IRJET | Impact Factor value: 6.171 | ISO 9001:2008 Certified Journal | Page 547
Fig -1: Orthogonality in orthogonal frequency division
multiplexing (OFDM)
2.2 Flip-OFDM system
The Flip-OFDM block diagram is shown in figure 2.
The input random signal symbol rate streams (high) are
converted into symbol rate streams (low). The important
thing in the OFDM block diagram is the modulation scheme
which modulates the low symbol rate streams in parallel
way and this parallel stream given input to the IFFT block
which transforms the frequency domain to time domain
before it reaches the channel. Adding the cyclic prefixactsas
the guard band and the reverse of transmission is
accomplished at the receiver end.
Fig-2: Block diagram of Flip-OFDM transmitter.
3. Receiver Design
3.1 conventional Receiver
Let us consider the one random signal for this we
can apply the modulation scheme then we will get the
frequency domain signal, This can be applied to the inverse
FFT we get the signal x(n) which is real and bipolar, this can
be decomposed as positive part signal x+(n) and negative
part signal x-(n), i.e.,
x(n) = x+(n) + x-(n),
where,
x+(n) = x(n), x(n) ≥ 0
= 0 , x(n) < 0
x-(n) = x(n), x(n) < 0
= 0 , x(n) ≥ 0
After this we can add the cp and transmit in the channel
finally we can get the received signal vectors in the
frequency domain are given as
Y+ = H X+ + Z+
Y- = -H X- + Z-
Where,
X+ = WN x+, X- = WN x-
In conventional receiver subtracts the negative subframe
from the positive sub frame to decode the data, So
Y+ - Y- = H X+ + HX- + Z+ - Z-
= HX + Z
Finally the conventional receiver can be described as
Xconv = dec[H-1 Y+ - H-1 Y-]
3.2 Proposed Receiver
The conventional receiver is basic and
straightforward, but it doesn’t fully exploit the structures of
the received signals. Now in this paper we are performed
iterations. If the number of iterations increases then bit
error rate going to be decreases. So in our proposedreceiver
we don’t take the positive and negative parts of the signals
directly, we have to make some modifications as shown
below and establishing the relationship between the two
received signals Y+ , Y- and the input data X.
In this receiver let us consider |x| can be denoted as
|x| = S(X) x = S(X) WN
H X,
Where S(X) is expressed as
S(X) = diag {sign (x) } = diag{sign (WN
H X) }
From this the positive and negativepartsofthesignal canbe
written as follows,
From this the relationship between the Y+ and X can be
derived as
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 04 Issue: 12 | Dec-2017 www.irjet.net p-ISSN: 2395-0072
© 2017, IRJET | Impact Factor value: 6.171 | ISO 9001:2008 Certified Journal | Page 548
So finally the iterative receiver becomes
= dec{
}
4. Simulation Result
Here, our simulation resultsshowsthatthebiterror
rate performance of the conventional receiverandproposed
iterative receiver when number of subcarriers are 64, the
length of cyclic prefix (CP) is 32.and also results shown for
16-QAM and 16-PSK individually as shown below.
4.1 In the case of 16-QAM
In this case we are taking 16-QAM constellation mapping at
the basic step of OFDM transmitter. And then we calculate
the BER for conventional receiver and iterative receiver by
varying the signal to noise ratio. Our simulation results
shown in Fig.3 is bit error rate curves for two different
receivers from the figure red colour line indicates that bit
error rate curve for conventional receiver and black colour
line indicates that bit error rate curve for iterative receiver.
Chart-1: bit error rate comparison for different receivers
From the simulation results we can tabulate the values as
shown in Table.1. forthe signal tonoiseratiovariationfrom2
dB to 18 dB, Andalso wecantabulatetheimprovementfactor
in bit error rate from the difference of conventional and
iterative receivers bit error rates.
SNR[dB] Conventional
Receiver BER
Iterative
receiver
BER
Improvement
Factor in BER
2 0.5634 0.3848 0.1786
4 0.4169 0.2481 0.1688
6 0.2576 0.08509 0.17251
10 0.1303 0.02477 0.1055
14 0.05278 0.007645 0.04513
18 0.01037 0.001237 0.00913
Table-1: bit error rate values for different receivers and
improvement factor
4.2 In the case of 16-PSK
In this case we are taking 16-PSK constellation mapping at
the basic step of OFDM transmitter.Andthenwecalculatethe
BER for conventional receiver and iterative receiver by
varying the signal to noise ratio. Our simulation results
shown in Fig.4 is bit error rate curves for two different
receivers, from the figure red colour line indicates that bit
error rate curve for conventional receiver and black colour
line indicates that bit error rate curve for iterative receiver.
Chart-2: bit error rate comparison for different receivers
From the simulation results we can tabulate the
values as shown in Table.2. for the signal to noise ratio
variation from 2 dB to 18 dB, And also we can tabulate the
improvement factor in bit error rate from the difference of
conventional and iterative receivers bit error rates.
SNR[dB] Conventional
Receiver BER
Iterative
receiver
BER
Improvement
Factor in BER
2 0.5781 0.4121 0.166
4 0.4306 0.2659 0.1647
6 0.2702 0.08908 0.1811
10 0.1621 0.02933 0.13277
14 0.1066 0.01339 0.09321
18 0.06058 0.005926 0.05465
Table-2: bit error rate values for different receivers and
improvement factor
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 04 Issue: 12 | Dec-2017 www.irjet.net p-ISSN: 2395-0072
© 2017, IRJET | Impact Factor value: 6.171 | ISO 9001:2008 Certified Journal | Page 549
5. Results Comparison
From the simulation results shown above, we can
compare the results by considering the improvementfactor,
let us consider the two modulation schemes the
improvement factor can be compared as for lower signal to
noise ratio values and higher signal to noise ratio values, i.e.,
SNR= 2dB, Then
Modulation
Scheme
Conventional
receiver BER
Iterative
receiver
BER
Improvement
factor in BER
16-QAM 0.5634 0.3848 0.1786
16-PSK 0.5781 0.4121 0.166
Table-3: bit error rate values for different receivers and
improvement factor for lower SNR values
For higher values of signal to noise ratio, for example say
SNR= 18dB, Then
Modulation
Scheme
Conventional
receiver BER
Iterative
receiver
BER
Improvement
factor in BER
16-QAM 0.01037 0.001237 0.00913
16-PSK 0.06058 0.005926 0.05465
Table-4: bit error rate values for different receivers and
improvement factor for higher SNR values
From the comparison we can say that based on signal
power we can say that which modulation scheme is better
than other. i.e. If the signal power or in other words signal to
noise ratio is less then we go for 16-QAM scheme for better
performance of the receiver, else signal power or in other
words signal to noise ratio is high then we go for 16-PSK
scheme for better performance of the receiver. Where ever
we have low signal power applications better to go with 16-
QAM scheme and where ever we have high power
applications better to go with 16-PSK scheme.
If we compare the bit error rate for two different
receivers whatever be the modulation scheme the iterative
receiver is better than that of conventional receivers.
6. CONCLUSION AND FUTURE SCOPE
From the two modulation schemes forthesamesignalpower
and same constellation symbols QAM is better than PSK but
its may not true in all the cases. From this paper we can
conclude that for the same constellation symbols of two
modulation schemes, If the signal power is less in that case
QAM is better else if the signal power is high in that case PSK
is better in the proposed iterativereceiverdesign.Atmedium
signal power cases we can go for any modulation. So in any
modulation scheme either 16-QAM or 16-PSK the iterative
receiver gives significant bit error rate than that of
conventional receiver.Finally theproposediterativereceiver
canalso be connected to themodified Flip-OFDM framework
proposed [10] and the multiple-input multiple output
(MIMO) framework proposed in [16].
REFERENCES
[1] H.L. Minh, D. O’Brin, G. Faulkner, L. Zeng, K. Lee, D. Jung,
Y. Oh, and E. T. Won,”100-mb/s NRZ visible light
communications using a post equalized white led,”IEEE
photonics Technolgy Letters, vol. 21, no. 15, pp. 1063-
1065, Aug, 2009.
[2] J.-B. Wang, Q.-S. Hu, J. Wang, M. Chn, and J.-Y. Wang,
“Tight bounds on channel capacity for dimmable visible
light communications,” Journal of Light wave
Technology, vol. 31, no. 23, pp. 3771–3779, Dec, 2013.
[3] J. Amstrong, “OFDM for optical communications,”Journal
of Light wave Technology, vol. 27, no. 3, pp. 189–204,
Feb,2009.
[4] D. J. Baros, S. K. Wilson, and J. M. Kahn, “Comparison of
orthogonal frequency-division multiplexing and pulse-
amplitude modulation in indoor optical wireless links,”
IEEE Transactions on Communications, vol. 60, no. 1, pp.
153–163, Jan. 2012.
[5] N. Hung, J.-B. Wang, J. Wang, C. Pan, H. Wang, and M. Chn,
“Receiver design for PAMDMT in indor optical wireles
links,” IEEE Photonics Technolgy Letters, vol. 27, no. 2,
pp. 161–164, Jan. 2015.
[6] J. Armstrong and B. Schmdt, “Comparison of
asymmetrically clipped optical OFDM and DC biased
optical OFDM in AWGN,” IEEE Communications Letters,
vol. 12, no. 5, pp. 343–345, May 2008.
[7] J. Armstrong and A. Lowey, “Power efficint optical
OFDM,” Electronics Letters, vol. 42, no. 6, pp. 370 372,
Mar. 2006.
[8] S. C. J. Lee, S. Randel, F. Bryer, and A. M. Koonen, “PAM-
DMT for intensity-modulated and direct detection
optical communication systems,” IEEE Photonics
Technology Letters, vol. 21, no. 23, pp. 1749–1751,
Dec. 2009.
[9] N. Fernndo, Y. Hong, and E. Viterbo, “Flip- OFDM for
optical wireless communications,” in Proc. IEEE
Information Theory Workshop (ITW), pp. 5–9,2011.
[10] D. Tsonev and H. Has, “Avoiding spectral efficiency los
in unipolar OFDM for optical wireles communication,”
in Proc. IEEE International Conference on
Communications (ICC), pp. 3336–3341, 2014.
For lower values of signal to noise ratio, for example say
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 04 Issue: 12 | Dec-2017 www.irjet.net p-ISSN: 2395-0072
© 2017, IRJET | Impact Factor value: 6.171 | ISO 9001:2008 Certified Journal | Page 550
[11] N. Fernando, Y. Hong, and E. Vitrbo, “Flip- OFDM for
unipolar communication systems,” IEEE Transactions
on Communications, vol. 60, no. 12, pp. 3726–3733,
Dec, 2012.
[12] D. Tsonev, S. Sinaovic, and H. Haas, “Novel unipolar
orthogonal frequency division multiplexing (U-OFDM)
for optical wireless,” in Proc. IEEE 75th Vehicular
Technology Conference (VTC Spring), pp. 1–5, 2012.
[13] E. G. Larson, “MIMO detection metods: How they work,”
IEEE Signal Procesing Magazine, vol. 26, no. 3, pp. 91–
95, May 2009.
[14] J. Karout, E. Agrel, K. Szczerba, and M. Karlson,
“Optimizing constellations for single subcarier
intensity modulated optical systems,” IEEE
Transactions on Information Theory, vol. 58, no. 7, pp.
4645– 4659, July, 2012.
BIOGRAPHIES
M.Tech in the stream of
communication systems at the
Department of Electronics and
Communication Engineering at
Sreenivasa college of Engineering
and Technology (SECT), Kurnool,
Andhra Pradesh, India.
Mr. P Rangaswamy is currently
Associate Professor of Sreenivasa
College ofEngineering&Technology
(SECT), Kurnool, Andhra Pradesh,
India. He has 14 years of teaching
experience.
Mr. M Srikanthiscurrentlydoing

More Related Content

What's hot

Waveform Coding
Waveform CodingWaveform Coding
Waveform Coding
Apurva Patil
 
Comparison of various noise mitigation technique used with clipping for reduc...
Comparison of various noise mitigation technique used with clipping for reduc...Comparison of various noise mitigation technique used with clipping for reduc...
Comparison of various noise mitigation technique used with clipping for reduc...
eSAT Journals
 
Comparison of various noise mitigation technique used
Comparison of various noise mitigation technique usedComparison of various noise mitigation technique used
Comparison of various noise mitigation technique used
eSAT Publishing House
 
Compact Power Divider Integrated with Coupler and Microstrip Cavity Filter fo...
Compact Power Divider Integrated with Coupler and Microstrip Cavity Filter fo...Compact Power Divider Integrated with Coupler and Microstrip Cavity Filter fo...
Compact Power Divider Integrated with Coupler and Microstrip Cavity Filter fo...
TELKOMNIKA JOURNAL
 
Fixed Width Replica Redundancy Block Multiplier
Fixed Width Replica Redundancy Block MultiplierFixed Width Replica Redundancy Block Multiplier
Fixed Width Replica Redundancy Block Multiplier
IRJET Journal
 
Digital communication unit II
Digital communication unit IIDigital communication unit II
Digital communication unit II
Gangatharan Narayanan
 
Optimization of Cmos 0.18 µM Low Noise Amplifier Using Nsga-Ii for UWB Applic...
Optimization of Cmos 0.18 µM Low Noise Amplifier Using Nsga-Ii for UWB Applic...Optimization of Cmos 0.18 µM Low Noise Amplifier Using Nsga-Ii for UWB Applic...
Optimization of Cmos 0.18 µM Low Noise Amplifier Using Nsga-Ii for UWB Applic...
VLSICS Design
 
Waveform coding
Waveform codingWaveform coding
Waveform coding
Alapan Banerjee
 
Performance Evaluation of Coded Adaptive OFDM System Over AWGN Channel
Performance Evaluation of Coded Adaptive OFDM System Over AWGN ChannelPerformance Evaluation of Coded Adaptive OFDM System Over AWGN Channel
Performance Evaluation of Coded Adaptive OFDM System Over AWGN Channel
International Journal of Engineering Inventions www.ijeijournal.com
 
Performance and Analysis of OFDM Signal Using Matlab Simulink
Performance and Analysis of OFDM Signal Using Matlab  SimulinkPerformance and Analysis of OFDM Signal Using Matlab  Simulink
Performance and Analysis of OFDM Signal Using Matlab Simulink
IJMER
 
Ch5 1 v1
Ch5 1 v1Ch5 1 v1
Ch5 1 v1
bhagavanprasad
 
Tele3113 wk9wed
Tele3113 wk9wedTele3113 wk9wed
Tele3113 wk9wedVin Voro
 
Orthogonal frequency
Orthogonal frequencyOrthogonal frequency
Orthogonal frequency
Anittadevadas
 
Ch4 2 v1
Ch4 2 v1Ch4 2 v1
Ch4 2 v1
bhagavanprasad
 
Unit 3 ppt
Unit 3 pptUnit 3 ppt
Unit 3 ppt
RemyaRoseS
 
Data Communication Unit 2
Data Communication Unit 2 Data Communication Unit 2
Data Communication Unit 2
Anjuman College of Engg. & Tech.
 
D0511924
D0511924D0511924
D0511924
IOSR Journals
 

What's hot (19)

Waveform Coding
Waveform CodingWaveform Coding
Waveform Coding
 
Comparison of various noise mitigation technique used with clipping for reduc...
Comparison of various noise mitigation technique used with clipping for reduc...Comparison of various noise mitigation technique used with clipping for reduc...
Comparison of various noise mitigation technique used with clipping for reduc...
 
Comparison of various noise mitigation technique used
Comparison of various noise mitigation technique usedComparison of various noise mitigation technique used
Comparison of various noise mitigation technique used
 
Compact Power Divider Integrated with Coupler and Microstrip Cavity Filter fo...
Compact Power Divider Integrated with Coupler and Microstrip Cavity Filter fo...Compact Power Divider Integrated with Coupler and Microstrip Cavity Filter fo...
Compact Power Divider Integrated with Coupler and Microstrip Cavity Filter fo...
 
Fixed Width Replica Redundancy Block Multiplier
Fixed Width Replica Redundancy Block MultiplierFixed Width Replica Redundancy Block Multiplier
Fixed Width Replica Redundancy Block Multiplier
 
Digital communication unit II
Digital communication unit IIDigital communication unit II
Digital communication unit II
 
Optimization of Cmos 0.18 µM Low Noise Amplifier Using Nsga-Ii for UWB Applic...
Optimization of Cmos 0.18 µM Low Noise Amplifier Using Nsga-Ii for UWB Applic...Optimization of Cmos 0.18 µM Low Noise Amplifier Using Nsga-Ii for UWB Applic...
Optimization of Cmos 0.18 µM Low Noise Amplifier Using Nsga-Ii for UWB Applic...
 
B0510916
B0510916B0510916
B0510916
 
Waveform coding
Waveform codingWaveform coding
Waveform coding
 
Performance Evaluation of Coded Adaptive OFDM System Over AWGN Channel
Performance Evaluation of Coded Adaptive OFDM System Over AWGN ChannelPerformance Evaluation of Coded Adaptive OFDM System Over AWGN Channel
Performance Evaluation of Coded Adaptive OFDM System Over AWGN Channel
 
Performance and Analysis of OFDM Signal Using Matlab Simulink
Performance and Analysis of OFDM Signal Using Matlab  SimulinkPerformance and Analysis of OFDM Signal Using Matlab  Simulink
Performance and Analysis of OFDM Signal Using Matlab Simulink
 
Adm
AdmAdm
Adm
 
Ch5 1 v1
Ch5 1 v1Ch5 1 v1
Ch5 1 v1
 
Tele3113 wk9wed
Tele3113 wk9wedTele3113 wk9wed
Tele3113 wk9wed
 
Orthogonal frequency
Orthogonal frequencyOrthogonal frequency
Orthogonal frequency
 
Ch4 2 v1
Ch4 2 v1Ch4 2 v1
Ch4 2 v1
 
Unit 3 ppt
Unit 3 pptUnit 3 ppt
Unit 3 ppt
 
Data Communication Unit 2
Data Communication Unit 2 Data Communication Unit 2
Data Communication Unit 2
 
D0511924
D0511924D0511924
D0511924
 

Similar to Performance Evaluation of Iterative Receiver using 16-QAM and 16-PSK Modulation Techniques in OWC

BER Analysis of OFDM Systems with Varying Frequency Offset Factor over AWGN a...
BER Analysis of OFDM Systems with Varying Frequency Offset Factor over AWGN a...BER Analysis of OFDM Systems with Varying Frequency Offset Factor over AWGN a...
BER Analysis of OFDM Systems with Varying Frequency Offset Factor over AWGN a...
rahulmonikasharma
 
Sparse channel estimation by pilot allocation in MIMO-OFDM systems
Sparse channel estimation by pilot allocation  in   MIMO-OFDM systems     Sparse channel estimation by pilot allocation  in   MIMO-OFDM systems
Sparse channel estimation by pilot allocation in MIMO-OFDM systems
IRJET Journal
 
COMPARISON OF BER AND NUMBER OF ERRORS WITH DIFFERENT MODULATION TECHNIQUES I...
COMPARISON OF BER AND NUMBER OF ERRORS WITH DIFFERENT MODULATION TECHNIQUES I...COMPARISON OF BER AND NUMBER OF ERRORS WITH DIFFERENT MODULATION TECHNIQUES I...
COMPARISON OF BER AND NUMBER OF ERRORS WITH DIFFERENT MODULATION TECHNIQUES I...
Sukhvinder Singh Malik
 
Comparative Analysis of DP QPSK and DP 16-QAM Optical Coherent Receiver, with...
Comparative Analysis of DP QPSK and DP 16-QAM Optical Coherent Receiver, with...Comparative Analysis of DP QPSK and DP 16-QAM Optical Coherent Receiver, with...
Comparative Analysis of DP QPSK and DP 16-QAM Optical Coherent Receiver, with...
IRJET Journal
 
Effects of filtering on ber performance of an ofdm system
Effects of filtering on ber performance of an ofdm systemEffects of filtering on ber performance of an ofdm system
Effects of filtering on ber performance of an ofdm system
eSAT Publishing House
 
Outage analysis of simo system over nakagami n fading channel
Outage analysis of simo system over nakagami n fading channelOutage analysis of simo system over nakagami n fading channel
Outage analysis of simo system over nakagami n fading channel
eSAT Publishing House
 
Performance of DCO-OFDM in Optical Wireless Communication System
Performance of DCO-OFDM in Optical Wireless Communication SystemPerformance of DCO-OFDM in Optical Wireless Communication System
Performance of DCO-OFDM in Optical Wireless Communication System
AM Publications
 
Performance of DCO-OFDM in Optical Wireless Communication System
Performance of DCO-OFDM in Optical Wireless Communication SystemPerformance of DCO-OFDM in Optical Wireless Communication System
Performance of DCO-OFDM in Optical Wireless Communication System
AM Publications
 
Analysis of Phase Noise and Gaussian Noise in terms of Average BER for DP 16-...
Analysis of Phase Noise and Gaussian Noise in terms of Average BER for DP 16-...Analysis of Phase Noise and Gaussian Noise in terms of Average BER for DP 16-...
Analysis of Phase Noise and Gaussian Noise in terms of Average BER for DP 16-...
IRJET Journal
 
First order sigma delta modulator with low-power consumption implemented in a...
First order sigma delta modulator with low-power consumption implemented in a...First order sigma delta modulator with low-power consumption implemented in a...
First order sigma delta modulator with low-power consumption implemented in a...
eSAT Journals
 
First order sigma delta modulator with low-power
First order sigma delta modulator with low-powerFirst order sigma delta modulator with low-power
First order sigma delta modulator with low-power
eSAT Publishing House
 
Implementation of OFDM System Using Various Channel Modulation Schemes
Implementation of OFDM System Using Various Channel Modulation SchemesImplementation of OFDM System Using Various Channel Modulation Schemes
Implementation of OFDM System Using Various Channel Modulation Schemes
IJCSIS Research Publications
 
Designing and Performance Evaluation of 64 QAM OFDM System
Designing and Performance Evaluation of 64 QAM OFDM SystemDesigning and Performance Evaluation of 64 QAM OFDM System
Designing and Performance Evaluation of 64 QAM OFDM System
IOSR Journals
 
Designing and Performance Evaluation of 64 QAM OFDM System
Designing and Performance Evaluation of 64 QAM OFDM SystemDesigning and Performance Evaluation of 64 QAM OFDM System
Designing and Performance Evaluation of 64 QAM OFDM System
IOSR Journals
 
Optimal cfo channel estimation for adaptive receiver design
Optimal cfo channel estimation for adaptive receiver designOptimal cfo channel estimation for adaptive receiver design
Optimal cfo channel estimation for adaptive receiver design
eSAT Publishing House
 
Design of a two stage differential low noise amplifier for uwb applications
Design of a two stage differential low noise amplifier for uwb applicationsDesign of a two stage differential low noise amplifier for uwb applications
Design of a two stage differential low noise amplifier for uwb applications
IAEME Publication
 
Dispersion Compensation Module for WDM -PON at 5 -GB/S Downstream with Variou...
Dispersion Compensation Module for WDM -PON at 5 -GB/S Downstream with Variou...Dispersion Compensation Module for WDM -PON at 5 -GB/S Downstream with Variou...
Dispersion Compensation Module for WDM -PON at 5 -GB/S Downstream with Variou...
IRJET Journal
 
IRJET-Free Space Optical Communication Link under the Weak Atmospheric Turbul...
IRJET-Free Space Optical Communication Link under the Weak Atmospheric Turbul...IRJET-Free Space Optical Communication Link under the Weak Atmospheric Turbul...
IRJET-Free Space Optical Communication Link under the Weak Atmospheric Turbul...
IRJET Journal
 

Similar to Performance Evaluation of Iterative Receiver using 16-QAM and 16-PSK Modulation Techniques in OWC (20)

BER Analysis of OFDM Systems with Varying Frequency Offset Factor over AWGN a...
BER Analysis of OFDM Systems with Varying Frequency Offset Factor over AWGN a...BER Analysis of OFDM Systems with Varying Frequency Offset Factor over AWGN a...
BER Analysis of OFDM Systems with Varying Frequency Offset Factor over AWGN a...
 
Sparse channel estimation by pilot allocation in MIMO-OFDM systems
Sparse channel estimation by pilot allocation  in   MIMO-OFDM systems     Sparse channel estimation by pilot allocation  in   MIMO-OFDM systems
Sparse channel estimation by pilot allocation in MIMO-OFDM systems
 
COMPARISON OF BER AND NUMBER OF ERRORS WITH DIFFERENT MODULATION TECHNIQUES I...
COMPARISON OF BER AND NUMBER OF ERRORS WITH DIFFERENT MODULATION TECHNIQUES I...COMPARISON OF BER AND NUMBER OF ERRORS WITH DIFFERENT MODULATION TECHNIQUES I...
COMPARISON OF BER AND NUMBER OF ERRORS WITH DIFFERENT MODULATION TECHNIQUES I...
 
Comparative Analysis of DP QPSK and DP 16-QAM Optical Coherent Receiver, with...
Comparative Analysis of DP QPSK and DP 16-QAM Optical Coherent Receiver, with...Comparative Analysis of DP QPSK and DP 16-QAM Optical Coherent Receiver, with...
Comparative Analysis of DP QPSK and DP 16-QAM Optical Coherent Receiver, with...
 
Effects of filtering on ber performance of an ofdm system
Effects of filtering on ber performance of an ofdm systemEffects of filtering on ber performance of an ofdm system
Effects of filtering on ber performance of an ofdm system
 
Outage analysis of simo system over nakagami n fading channel
Outage analysis of simo system over nakagami n fading channelOutage analysis of simo system over nakagami n fading channel
Outage analysis of simo system over nakagami n fading channel
 
Performance of DCO-OFDM in Optical Wireless Communication System
Performance of DCO-OFDM in Optical Wireless Communication SystemPerformance of DCO-OFDM in Optical Wireless Communication System
Performance of DCO-OFDM in Optical Wireless Communication System
 
Performance of DCO-OFDM in Optical Wireless Communication System
Performance of DCO-OFDM in Optical Wireless Communication SystemPerformance of DCO-OFDM in Optical Wireless Communication System
Performance of DCO-OFDM in Optical Wireless Communication System
 
Analysis of Phase Noise and Gaussian Noise in terms of Average BER for DP 16-...
Analysis of Phase Noise and Gaussian Noise in terms of Average BER for DP 16-...Analysis of Phase Noise and Gaussian Noise in terms of Average BER for DP 16-...
Analysis of Phase Noise and Gaussian Noise in terms of Average BER for DP 16-...
 
First order sigma delta modulator with low-power consumption implemented in a...
First order sigma delta modulator with low-power consumption implemented in a...First order sigma delta modulator with low-power consumption implemented in a...
First order sigma delta modulator with low-power consumption implemented in a...
 
First order sigma delta modulator with low-power
First order sigma delta modulator with low-powerFirst order sigma delta modulator with low-power
First order sigma delta modulator with low-power
 
Implementation of OFDM System Using Various Channel Modulation Schemes
Implementation of OFDM System Using Various Channel Modulation SchemesImplementation of OFDM System Using Various Channel Modulation Schemes
Implementation of OFDM System Using Various Channel Modulation Schemes
 
Designing and Performance Evaluation of 64 QAM OFDM System
Designing and Performance Evaluation of 64 QAM OFDM SystemDesigning and Performance Evaluation of 64 QAM OFDM System
Designing and Performance Evaluation of 64 QAM OFDM System
 
Designing and Performance Evaluation of 64 QAM OFDM System
Designing and Performance Evaluation of 64 QAM OFDM SystemDesigning and Performance Evaluation of 64 QAM OFDM System
Designing and Performance Evaluation of 64 QAM OFDM System
 
Optimal cfo channel estimation for adaptive receiver design
Optimal cfo channel estimation for adaptive receiver designOptimal cfo channel estimation for adaptive receiver design
Optimal cfo channel estimation for adaptive receiver design
 
40120140501015
4012014050101540120140501015
40120140501015
 
PID1063629
PID1063629PID1063629
PID1063629
 
Design of a two stage differential low noise amplifier for uwb applications
Design of a two stage differential low noise amplifier for uwb applicationsDesign of a two stage differential low noise amplifier for uwb applications
Design of a two stage differential low noise amplifier for uwb applications
 
Dispersion Compensation Module for WDM -PON at 5 -GB/S Downstream with Variou...
Dispersion Compensation Module for WDM -PON at 5 -GB/S Downstream with Variou...Dispersion Compensation Module for WDM -PON at 5 -GB/S Downstream with Variou...
Dispersion Compensation Module for WDM -PON at 5 -GB/S Downstream with Variou...
 
IRJET-Free Space Optical Communication Link under the Weak Atmospheric Turbul...
IRJET-Free Space Optical Communication Link under the Weak Atmospheric Turbul...IRJET-Free Space Optical Communication Link under the Weak Atmospheric Turbul...
IRJET-Free Space Optical Communication Link under the Weak Atmospheric Turbul...
 

More from IRJET Journal

TUNNELING IN HIMALAYAS WITH NATM METHOD: A SPECIAL REFERENCES TO SUNGAL TUNNE...
TUNNELING IN HIMALAYAS WITH NATM METHOD: A SPECIAL REFERENCES TO SUNGAL TUNNE...TUNNELING IN HIMALAYAS WITH NATM METHOD: A SPECIAL REFERENCES TO SUNGAL TUNNE...
TUNNELING IN HIMALAYAS WITH NATM METHOD: A SPECIAL REFERENCES TO SUNGAL TUNNE...
IRJET Journal
 
STUDY THE EFFECT OF RESPONSE REDUCTION FACTOR ON RC FRAMED STRUCTURE
STUDY THE EFFECT OF RESPONSE REDUCTION FACTOR ON RC FRAMED STRUCTURESTUDY THE EFFECT OF RESPONSE REDUCTION FACTOR ON RC FRAMED STRUCTURE
STUDY THE EFFECT OF RESPONSE REDUCTION FACTOR ON RC FRAMED STRUCTURE
IRJET Journal
 
A COMPARATIVE ANALYSIS OF RCC ELEMENT OF SLAB WITH STARK STEEL (HYSD STEEL) A...
A COMPARATIVE ANALYSIS OF RCC ELEMENT OF SLAB WITH STARK STEEL (HYSD STEEL) A...A COMPARATIVE ANALYSIS OF RCC ELEMENT OF SLAB WITH STARK STEEL (HYSD STEEL) A...
A COMPARATIVE ANALYSIS OF RCC ELEMENT OF SLAB WITH STARK STEEL (HYSD STEEL) A...
IRJET Journal
 
Effect of Camber and Angles of Attack on Airfoil Characteristics
Effect of Camber and Angles of Attack on Airfoil CharacteristicsEffect of Camber and Angles of Attack on Airfoil Characteristics
Effect of Camber and Angles of Attack on Airfoil Characteristics
IRJET Journal
 
A Review on the Progress and Challenges of Aluminum-Based Metal Matrix Compos...
A Review on the Progress and Challenges of Aluminum-Based Metal Matrix Compos...A Review on the Progress and Challenges of Aluminum-Based Metal Matrix Compos...
A Review on the Progress and Challenges of Aluminum-Based Metal Matrix Compos...
IRJET Journal
 
Dynamic Urban Transit Optimization: A Graph Neural Network Approach for Real-...
Dynamic Urban Transit Optimization: A Graph Neural Network Approach for Real-...Dynamic Urban Transit Optimization: A Graph Neural Network Approach for Real-...
Dynamic Urban Transit Optimization: A Graph Neural Network Approach for Real-...
IRJET Journal
 
Structural Analysis and Design of Multi-Storey Symmetric and Asymmetric Shape...
Structural Analysis and Design of Multi-Storey Symmetric and Asymmetric Shape...Structural Analysis and Design of Multi-Storey Symmetric and Asymmetric Shape...
Structural Analysis and Design of Multi-Storey Symmetric and Asymmetric Shape...
IRJET Journal
 
A Review of “Seismic Response of RC Structures Having Plan and Vertical Irreg...
A Review of “Seismic Response of RC Structures Having Plan and Vertical Irreg...A Review of “Seismic Response of RC Structures Having Plan and Vertical Irreg...
A Review of “Seismic Response of RC Structures Having Plan and Vertical Irreg...
IRJET Journal
 
A REVIEW ON MACHINE LEARNING IN ADAS
A REVIEW ON MACHINE LEARNING IN ADASA REVIEW ON MACHINE LEARNING IN ADAS
A REVIEW ON MACHINE LEARNING IN ADAS
IRJET Journal
 
Long Term Trend Analysis of Precipitation and Temperature for Asosa district,...
Long Term Trend Analysis of Precipitation and Temperature for Asosa district,...Long Term Trend Analysis of Precipitation and Temperature for Asosa district,...
Long Term Trend Analysis of Precipitation and Temperature for Asosa district,...
IRJET Journal
 
P.E.B. Framed Structure Design and Analysis Using STAAD Pro
P.E.B. Framed Structure Design and Analysis Using STAAD ProP.E.B. Framed Structure Design and Analysis Using STAAD Pro
P.E.B. Framed Structure Design and Analysis Using STAAD Pro
IRJET Journal
 
A Review on Innovative Fiber Integration for Enhanced Reinforcement of Concre...
A Review on Innovative Fiber Integration for Enhanced Reinforcement of Concre...A Review on Innovative Fiber Integration for Enhanced Reinforcement of Concre...
A Review on Innovative Fiber Integration for Enhanced Reinforcement of Concre...
IRJET Journal
 
Survey Paper on Cloud-Based Secured Healthcare System
Survey Paper on Cloud-Based Secured Healthcare SystemSurvey Paper on Cloud-Based Secured Healthcare System
Survey Paper on Cloud-Based Secured Healthcare System
IRJET Journal
 
Review on studies and research on widening of existing concrete bridges
Review on studies and research on widening of existing concrete bridgesReview on studies and research on widening of existing concrete bridges
Review on studies and research on widening of existing concrete bridges
IRJET Journal
 
React based fullstack edtech web application
React based fullstack edtech web applicationReact based fullstack edtech web application
React based fullstack edtech web application
IRJET Journal
 
A Comprehensive Review of Integrating IoT and Blockchain Technologies in the ...
A Comprehensive Review of Integrating IoT and Blockchain Technologies in the ...A Comprehensive Review of Integrating IoT and Blockchain Technologies in the ...
A Comprehensive Review of Integrating IoT and Blockchain Technologies in the ...
IRJET Journal
 
A REVIEW ON THE PERFORMANCE OF COCONUT FIBRE REINFORCED CONCRETE.
A REVIEW ON THE PERFORMANCE OF COCONUT FIBRE REINFORCED CONCRETE.A REVIEW ON THE PERFORMANCE OF COCONUT FIBRE REINFORCED CONCRETE.
A REVIEW ON THE PERFORMANCE OF COCONUT FIBRE REINFORCED CONCRETE.
IRJET Journal
 
Optimizing Business Management Process Workflows: The Dynamic Influence of Mi...
Optimizing Business Management Process Workflows: The Dynamic Influence of Mi...Optimizing Business Management Process Workflows: The Dynamic Influence of Mi...
Optimizing Business Management Process Workflows: The Dynamic Influence of Mi...
IRJET Journal
 
Multistoried and Multi Bay Steel Building Frame by using Seismic Design
Multistoried and Multi Bay Steel Building Frame by using Seismic DesignMultistoried and Multi Bay Steel Building Frame by using Seismic Design
Multistoried and Multi Bay Steel Building Frame by using Seismic Design
IRJET Journal
 
Cost Optimization of Construction Using Plastic Waste as a Sustainable Constr...
Cost Optimization of Construction Using Plastic Waste as a Sustainable Constr...Cost Optimization of Construction Using Plastic Waste as a Sustainable Constr...
Cost Optimization of Construction Using Plastic Waste as a Sustainable Constr...
IRJET Journal
 

More from IRJET Journal (20)

TUNNELING IN HIMALAYAS WITH NATM METHOD: A SPECIAL REFERENCES TO SUNGAL TUNNE...
TUNNELING IN HIMALAYAS WITH NATM METHOD: A SPECIAL REFERENCES TO SUNGAL TUNNE...TUNNELING IN HIMALAYAS WITH NATM METHOD: A SPECIAL REFERENCES TO SUNGAL TUNNE...
TUNNELING IN HIMALAYAS WITH NATM METHOD: A SPECIAL REFERENCES TO SUNGAL TUNNE...
 
STUDY THE EFFECT OF RESPONSE REDUCTION FACTOR ON RC FRAMED STRUCTURE
STUDY THE EFFECT OF RESPONSE REDUCTION FACTOR ON RC FRAMED STRUCTURESTUDY THE EFFECT OF RESPONSE REDUCTION FACTOR ON RC FRAMED STRUCTURE
STUDY THE EFFECT OF RESPONSE REDUCTION FACTOR ON RC FRAMED STRUCTURE
 
A COMPARATIVE ANALYSIS OF RCC ELEMENT OF SLAB WITH STARK STEEL (HYSD STEEL) A...
A COMPARATIVE ANALYSIS OF RCC ELEMENT OF SLAB WITH STARK STEEL (HYSD STEEL) A...A COMPARATIVE ANALYSIS OF RCC ELEMENT OF SLAB WITH STARK STEEL (HYSD STEEL) A...
A COMPARATIVE ANALYSIS OF RCC ELEMENT OF SLAB WITH STARK STEEL (HYSD STEEL) A...
 
Effect of Camber and Angles of Attack on Airfoil Characteristics
Effect of Camber and Angles of Attack on Airfoil CharacteristicsEffect of Camber and Angles of Attack on Airfoil Characteristics
Effect of Camber and Angles of Attack on Airfoil Characteristics
 
A Review on the Progress and Challenges of Aluminum-Based Metal Matrix Compos...
A Review on the Progress and Challenges of Aluminum-Based Metal Matrix Compos...A Review on the Progress and Challenges of Aluminum-Based Metal Matrix Compos...
A Review on the Progress and Challenges of Aluminum-Based Metal Matrix Compos...
 
Dynamic Urban Transit Optimization: A Graph Neural Network Approach for Real-...
Dynamic Urban Transit Optimization: A Graph Neural Network Approach for Real-...Dynamic Urban Transit Optimization: A Graph Neural Network Approach for Real-...
Dynamic Urban Transit Optimization: A Graph Neural Network Approach for Real-...
 
Structural Analysis and Design of Multi-Storey Symmetric and Asymmetric Shape...
Structural Analysis and Design of Multi-Storey Symmetric and Asymmetric Shape...Structural Analysis and Design of Multi-Storey Symmetric and Asymmetric Shape...
Structural Analysis and Design of Multi-Storey Symmetric and Asymmetric Shape...
 
A Review of “Seismic Response of RC Structures Having Plan and Vertical Irreg...
A Review of “Seismic Response of RC Structures Having Plan and Vertical Irreg...A Review of “Seismic Response of RC Structures Having Plan and Vertical Irreg...
A Review of “Seismic Response of RC Structures Having Plan and Vertical Irreg...
 
A REVIEW ON MACHINE LEARNING IN ADAS
A REVIEW ON MACHINE LEARNING IN ADASA REVIEW ON MACHINE LEARNING IN ADAS
A REVIEW ON MACHINE LEARNING IN ADAS
 
Long Term Trend Analysis of Precipitation and Temperature for Asosa district,...
Long Term Trend Analysis of Precipitation and Temperature for Asosa district,...Long Term Trend Analysis of Precipitation and Temperature for Asosa district,...
Long Term Trend Analysis of Precipitation and Temperature for Asosa district,...
 
P.E.B. Framed Structure Design and Analysis Using STAAD Pro
P.E.B. Framed Structure Design and Analysis Using STAAD ProP.E.B. Framed Structure Design and Analysis Using STAAD Pro
P.E.B. Framed Structure Design and Analysis Using STAAD Pro
 
A Review on Innovative Fiber Integration for Enhanced Reinforcement of Concre...
A Review on Innovative Fiber Integration for Enhanced Reinforcement of Concre...A Review on Innovative Fiber Integration for Enhanced Reinforcement of Concre...
A Review on Innovative Fiber Integration for Enhanced Reinforcement of Concre...
 
Survey Paper on Cloud-Based Secured Healthcare System
Survey Paper on Cloud-Based Secured Healthcare SystemSurvey Paper on Cloud-Based Secured Healthcare System
Survey Paper on Cloud-Based Secured Healthcare System
 
Review on studies and research on widening of existing concrete bridges
Review on studies and research on widening of existing concrete bridgesReview on studies and research on widening of existing concrete bridges
Review on studies and research on widening of existing concrete bridges
 
React based fullstack edtech web application
React based fullstack edtech web applicationReact based fullstack edtech web application
React based fullstack edtech web application
 
A Comprehensive Review of Integrating IoT and Blockchain Technologies in the ...
A Comprehensive Review of Integrating IoT and Blockchain Technologies in the ...A Comprehensive Review of Integrating IoT and Blockchain Technologies in the ...
A Comprehensive Review of Integrating IoT and Blockchain Technologies in the ...
 
A REVIEW ON THE PERFORMANCE OF COCONUT FIBRE REINFORCED CONCRETE.
A REVIEW ON THE PERFORMANCE OF COCONUT FIBRE REINFORCED CONCRETE.A REVIEW ON THE PERFORMANCE OF COCONUT FIBRE REINFORCED CONCRETE.
A REVIEW ON THE PERFORMANCE OF COCONUT FIBRE REINFORCED CONCRETE.
 
Optimizing Business Management Process Workflows: The Dynamic Influence of Mi...
Optimizing Business Management Process Workflows: The Dynamic Influence of Mi...Optimizing Business Management Process Workflows: The Dynamic Influence of Mi...
Optimizing Business Management Process Workflows: The Dynamic Influence of Mi...
 
Multistoried and Multi Bay Steel Building Frame by using Seismic Design
Multistoried and Multi Bay Steel Building Frame by using Seismic DesignMultistoried and Multi Bay Steel Building Frame by using Seismic Design
Multistoried and Multi Bay Steel Building Frame by using Seismic Design
 
Cost Optimization of Construction Using Plastic Waste as a Sustainable Constr...
Cost Optimization of Construction Using Plastic Waste as a Sustainable Constr...Cost Optimization of Construction Using Plastic Waste as a Sustainable Constr...
Cost Optimization of Construction Using Plastic Waste as a Sustainable Constr...
 

Recently uploaded

TECHNICAL TRAINING MANUAL GENERAL FAMILIARIZATION COURSE
TECHNICAL TRAINING MANUAL   GENERAL FAMILIARIZATION COURSETECHNICAL TRAINING MANUAL   GENERAL FAMILIARIZATION COURSE
TECHNICAL TRAINING MANUAL GENERAL FAMILIARIZATION COURSE
DuvanRamosGarzon1
 
Final project report on grocery store management system..pdf
Final project report on grocery store management system..pdfFinal project report on grocery store management system..pdf
Final project report on grocery store management system..pdf
Kamal Acharya
 
Hybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdf
Hybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdfHybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdf
Hybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdf
fxintegritypublishin
 
H.Seo, ICLR 2024, MLILAB, KAIST AI.pdf
H.Seo,  ICLR 2024, MLILAB,  KAIST AI.pdfH.Seo,  ICLR 2024, MLILAB,  KAIST AI.pdf
H.Seo, ICLR 2024, MLILAB, KAIST AI.pdf
MLILAB
 
Design and Analysis of Algorithms-DP,Backtracking,Graphs,B&B
Design and Analysis of Algorithms-DP,Backtracking,Graphs,B&BDesign and Analysis of Algorithms-DP,Backtracking,Graphs,B&B
Design and Analysis of Algorithms-DP,Backtracking,Graphs,B&B
Sreedhar Chowdam
 
J.Yang, ICLR 2024, MLILAB, KAIST AI.pdf
J.Yang,  ICLR 2024, MLILAB, KAIST AI.pdfJ.Yang,  ICLR 2024, MLILAB, KAIST AI.pdf
J.Yang, ICLR 2024, MLILAB, KAIST AI.pdf
MLILAB
 
Sachpazis:Terzaghi Bearing Capacity Estimation in simple terms with Calculati...
Sachpazis:Terzaghi Bearing Capacity Estimation in simple terms with Calculati...Sachpazis:Terzaghi Bearing Capacity Estimation in simple terms with Calculati...
Sachpazis:Terzaghi Bearing Capacity Estimation in simple terms with Calculati...
Dr.Costas Sachpazis
 
NO1 Uk best vashikaran specialist in delhi vashikaran baba near me online vas...
NO1 Uk best vashikaran specialist in delhi vashikaran baba near me online vas...NO1 Uk best vashikaran specialist in delhi vashikaran baba near me online vas...
NO1 Uk best vashikaran specialist in delhi vashikaran baba near me online vas...
Amil Baba Dawood bangali
 
Halogenation process of chemical process industries
Halogenation process of chemical process industriesHalogenation process of chemical process industries
Halogenation process of chemical process industries
MuhammadTufail242431
 
block diagram and signal flow graph representation
block diagram and signal flow graph representationblock diagram and signal flow graph representation
block diagram and signal flow graph representation
Divya Somashekar
 
WATER CRISIS and its solutions-pptx 1234
WATER CRISIS and its solutions-pptx 1234WATER CRISIS and its solutions-pptx 1234
WATER CRISIS and its solutions-pptx 1234
AafreenAbuthahir2
 
CFD Simulation of By-pass Flow in a HRSG module by R&R Consult.pptx
CFD Simulation of By-pass Flow in a HRSG module by R&R Consult.pptxCFD Simulation of By-pass Flow in a HRSG module by R&R Consult.pptx
CFD Simulation of By-pass Flow in a HRSG module by R&R Consult.pptx
R&R Consult
 
Event Management System Vb Net Project Report.pdf
Event Management System Vb Net  Project Report.pdfEvent Management System Vb Net  Project Report.pdf
Event Management System Vb Net Project Report.pdf
Kamal Acharya
 
一比一原版(SFU毕业证)西蒙菲莎大学毕业证成绩单如何办理
一比一原版(SFU毕业证)西蒙菲莎大学毕业证成绩单如何办理一比一原版(SFU毕业证)西蒙菲莎大学毕业证成绩单如何办理
一比一原版(SFU毕业证)西蒙菲莎大学毕业证成绩单如何办理
bakpo1
 
LIGA(E)11111111111111111111111111111111111111111.ppt
LIGA(E)11111111111111111111111111111111111111111.pptLIGA(E)11111111111111111111111111111111111111111.ppt
LIGA(E)11111111111111111111111111111111111111111.ppt
ssuser9bd3ba
 
Nuclear Power Economics and Structuring 2024
Nuclear Power Economics and Structuring 2024Nuclear Power Economics and Structuring 2024
Nuclear Power Economics and Structuring 2024
Massimo Talia
 
Student information management system project report ii.pdf
Student information management system project report ii.pdfStudent information management system project report ii.pdf
Student information management system project report ii.pdf
Kamal Acharya
 
Courier management system project report.pdf
Courier management system project report.pdfCourier management system project report.pdf
Courier management system project report.pdf
Kamal Acharya
 
Immunizing Image Classifiers Against Localized Adversary Attacks
Immunizing Image Classifiers Against Localized Adversary AttacksImmunizing Image Classifiers Against Localized Adversary Attacks
Immunizing Image Classifiers Against Localized Adversary Attacks
gerogepatton
 
Cosmetic shop management system project report.pdf
Cosmetic shop management system project report.pdfCosmetic shop management system project report.pdf
Cosmetic shop management system project report.pdf
Kamal Acharya
 

Recently uploaded (20)

TECHNICAL TRAINING MANUAL GENERAL FAMILIARIZATION COURSE
TECHNICAL TRAINING MANUAL   GENERAL FAMILIARIZATION COURSETECHNICAL TRAINING MANUAL   GENERAL FAMILIARIZATION COURSE
TECHNICAL TRAINING MANUAL GENERAL FAMILIARIZATION COURSE
 
Final project report on grocery store management system..pdf
Final project report on grocery store management system..pdfFinal project report on grocery store management system..pdf
Final project report on grocery store management system..pdf
 
Hybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdf
Hybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdfHybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdf
Hybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdf
 
H.Seo, ICLR 2024, MLILAB, KAIST AI.pdf
H.Seo,  ICLR 2024, MLILAB,  KAIST AI.pdfH.Seo,  ICLR 2024, MLILAB,  KAIST AI.pdf
H.Seo, ICLR 2024, MLILAB, KAIST AI.pdf
 
Design and Analysis of Algorithms-DP,Backtracking,Graphs,B&B
Design and Analysis of Algorithms-DP,Backtracking,Graphs,B&BDesign and Analysis of Algorithms-DP,Backtracking,Graphs,B&B
Design and Analysis of Algorithms-DP,Backtracking,Graphs,B&B
 
J.Yang, ICLR 2024, MLILAB, KAIST AI.pdf
J.Yang,  ICLR 2024, MLILAB, KAIST AI.pdfJ.Yang,  ICLR 2024, MLILAB, KAIST AI.pdf
J.Yang, ICLR 2024, MLILAB, KAIST AI.pdf
 
Sachpazis:Terzaghi Bearing Capacity Estimation in simple terms with Calculati...
Sachpazis:Terzaghi Bearing Capacity Estimation in simple terms with Calculati...Sachpazis:Terzaghi Bearing Capacity Estimation in simple terms with Calculati...
Sachpazis:Terzaghi Bearing Capacity Estimation in simple terms with Calculati...
 
NO1 Uk best vashikaran specialist in delhi vashikaran baba near me online vas...
NO1 Uk best vashikaran specialist in delhi vashikaran baba near me online vas...NO1 Uk best vashikaran specialist in delhi vashikaran baba near me online vas...
NO1 Uk best vashikaran specialist in delhi vashikaran baba near me online vas...
 
Halogenation process of chemical process industries
Halogenation process of chemical process industriesHalogenation process of chemical process industries
Halogenation process of chemical process industries
 
block diagram and signal flow graph representation
block diagram and signal flow graph representationblock diagram and signal flow graph representation
block diagram and signal flow graph representation
 
WATER CRISIS and its solutions-pptx 1234
WATER CRISIS and its solutions-pptx 1234WATER CRISIS and its solutions-pptx 1234
WATER CRISIS and its solutions-pptx 1234
 
CFD Simulation of By-pass Flow in a HRSG module by R&R Consult.pptx
CFD Simulation of By-pass Flow in a HRSG module by R&R Consult.pptxCFD Simulation of By-pass Flow in a HRSG module by R&R Consult.pptx
CFD Simulation of By-pass Flow in a HRSG module by R&R Consult.pptx
 
Event Management System Vb Net Project Report.pdf
Event Management System Vb Net  Project Report.pdfEvent Management System Vb Net  Project Report.pdf
Event Management System Vb Net Project Report.pdf
 
一比一原版(SFU毕业证)西蒙菲莎大学毕业证成绩单如何办理
一比一原版(SFU毕业证)西蒙菲莎大学毕业证成绩单如何办理一比一原版(SFU毕业证)西蒙菲莎大学毕业证成绩单如何办理
一比一原版(SFU毕业证)西蒙菲莎大学毕业证成绩单如何办理
 
LIGA(E)11111111111111111111111111111111111111111.ppt
LIGA(E)11111111111111111111111111111111111111111.pptLIGA(E)11111111111111111111111111111111111111111.ppt
LIGA(E)11111111111111111111111111111111111111111.ppt
 
Nuclear Power Economics and Structuring 2024
Nuclear Power Economics and Structuring 2024Nuclear Power Economics and Structuring 2024
Nuclear Power Economics and Structuring 2024
 
Student information management system project report ii.pdf
Student information management system project report ii.pdfStudent information management system project report ii.pdf
Student information management system project report ii.pdf
 
Courier management system project report.pdf
Courier management system project report.pdfCourier management system project report.pdf
Courier management system project report.pdf
 
Immunizing Image Classifiers Against Localized Adversary Attacks
Immunizing Image Classifiers Against Localized Adversary AttacksImmunizing Image Classifiers Against Localized Adversary Attacks
Immunizing Image Classifiers Against Localized Adversary Attacks
 
Cosmetic shop management system project report.pdf
Cosmetic shop management system project report.pdfCosmetic shop management system project report.pdf
Cosmetic shop management system project report.pdf
 

Performance Evaluation of Iterative Receiver using 16-QAM and 16-PSK Modulation Techniques in OWC

  • 1. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 04 Issue: 12 | Dec-2017 www.irjet.net p-ISSN: 2395-0072 © 2017, IRJET | Impact Factor value: 6.171 | ISO 9001:2008 Certified Journal | Page 546 Performance Evaluation of Iterative Receiver Using 16-QAM and 16- PSK Modulation Techniques in OWC M Srikanth1, P Rangaswamy2 1M.Tech Student, Dept of ECE, Sreenivasa College of Engineering & Technology. 2Associate Professor, Department of ECE , Sreenivasa College of Engineering & Technology, Kurnool, Andhra pradesh. ---------------------------------------------------------------------***--------------------------------------------------------------------- Abstract - Now a day’s rapidly growing demand for high data rate in wireless communications applications and the significant increase of the number of users, theradiofrequency (RF) spectrum become one of the rare resources in the world. To extract non negative signals in optical wireless communication (OWC) systems, flipped orthogonal frequency division multiplexing (Flip-OFDM) transmits positive and negative parts of the signal more than two backtobackOFDM subframes (positive sub frame and negative subframe, individually). As the conventional receiver for Flip-OFDM transmit the data by subtracting the negative frame from the positive subframe. Then the signal analysis shows that the information will be transmitted by both the subframes. But in conventional the data loss will be there. To overcome this problem we are proposed an iterative receiver to increase the performance of FLIP-OFDM by abusing the signal in two frames. The performance results areverifiedwith16-QAMand 16-PSK at the initial step of OFDM transmitter. So our simulation results show that the proposed iterative receiver provides significant bit error rate (BER) compare to conventional receiver. Key Words: Iterative receiver, Flip-OFDM, OFDM Transmitter, BER, Optical wireless communication (OWC). 1. INTRODUCTION With the widespread organization of light deployment diodes (LEDs), optical wireless communication (OWC) has pulled an increasing interest in educated community and industry recently [1]. Because of its distinctadvantagessuch as rich spectrum resources and high security purpose, OWC has replaces attractive alternate to radio frequency (RF) systems[2]. To accomplish high symbol rates and mitigate inter-symbol interference (ISI), orthogonal frequency division multiplexing (OFDM) has been utilized in OWC[3] – [5]. Since intensity modulation anddirectdetection(IM/DD) is continuously utilized as a part of OWC frameworks, the transmitted signals must bereal andnonnegative.Toresolve the issue of bipolarity in OFDM signals,a fewOFDMmethods have been proposed for OWC. They are direct current (DC) optical OFDM (DCO-OFDM) [6], asymmetrically clipped optical OFDM (ACO-OFDM) [7], along with pulse-amplitude- modulated discrete multi tone (PAM-DMT) [8]. DCO-OFDM adds a DC level to the OFDM symbols, This increases the power dissipation of the signal significantly. ACO-OFDM and PAM-DMT have no need of DC bias due to clipping operation, yet each has only half the spectral efficiency of DCO-OFDM. The authors in [9] introduced a novel OFDM procedure named as Flip-OFDM in which positive and negative parts of the signals are separately transmitted two consecutive OFDM subframes. In [10], authors demonstrated that Flip-OFDM can be modified to approach the spectral efficiency of DCO-OFDM with no biasing, it contributes to the practical applications of Flip- OFDM in OWC. In the conventional receiver for Flip-OFDM, the information is recovered by subtracting the negative signal frame from the positive signal frame [9]. This procedure is basic and straightforward. In any case, it expands the noise variance of the receiver symbols, making the performance much worse than that of bipolar OFDM with the same modulation scheme. To enhance the performance of Flip- OFDM, a time-domain noise filtering technique was introduced in [11] and investigated in [12]. Of course, the algorithm does not make full utilization of the signal structures. Here in this letter, an iterative receiver is proposed for Flip- OFDM by completely exploiting the structures of the received signals. Simulations confirm that the proposed iterative receiver is superior to different receivers. 2. Related Work 2.1 Orthogonality of OFDM In communication model of the orthogonal frequency division multiplexing (OFDM), used sub carriers are orthogonal to each other. The Orthogonality helpful in preventing the overlapping between the sub carriers in the respective nature of frequency domain. The accuracy of communication model is simply based on how effectively utilizes the bandwidth and this is technically named as spectral efficiency or bandwidth efficiency, the utilized bandwidth efficiency is free of Inter carrier interference and also the absence of Inter carrier interference (ICI) is mainly due to usage of Orthogonality in orthogonal frequency division multiplexing.
  • 2. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 04 Issue: 12 | Dec-2017 www.irjet.net p-ISSN: 2395-0072 © 2017, IRJET | Impact Factor value: 6.171 | ISO 9001:2008 Certified Journal | Page 547 Fig -1: Orthogonality in orthogonal frequency division multiplexing (OFDM) 2.2 Flip-OFDM system The Flip-OFDM block diagram is shown in figure 2. The input random signal symbol rate streams (high) are converted into symbol rate streams (low). The important thing in the OFDM block diagram is the modulation scheme which modulates the low symbol rate streams in parallel way and this parallel stream given input to the IFFT block which transforms the frequency domain to time domain before it reaches the channel. Adding the cyclic prefixactsas the guard band and the reverse of transmission is accomplished at the receiver end. Fig-2: Block diagram of Flip-OFDM transmitter. 3. Receiver Design 3.1 conventional Receiver Let us consider the one random signal for this we can apply the modulation scheme then we will get the frequency domain signal, This can be applied to the inverse FFT we get the signal x(n) which is real and bipolar, this can be decomposed as positive part signal x+(n) and negative part signal x-(n), i.e., x(n) = x+(n) + x-(n), where, x+(n) = x(n), x(n) ≥ 0 = 0 , x(n) < 0 x-(n) = x(n), x(n) < 0 = 0 , x(n) ≥ 0 After this we can add the cp and transmit in the channel finally we can get the received signal vectors in the frequency domain are given as Y+ = H X+ + Z+ Y- = -H X- + Z- Where, X+ = WN x+, X- = WN x- In conventional receiver subtracts the negative subframe from the positive sub frame to decode the data, So Y+ - Y- = H X+ + HX- + Z+ - Z- = HX + Z Finally the conventional receiver can be described as Xconv = dec[H-1 Y+ - H-1 Y-] 3.2 Proposed Receiver The conventional receiver is basic and straightforward, but it doesn’t fully exploit the structures of the received signals. Now in this paper we are performed iterations. If the number of iterations increases then bit error rate going to be decreases. So in our proposedreceiver we don’t take the positive and negative parts of the signals directly, we have to make some modifications as shown below and establishing the relationship between the two received signals Y+ , Y- and the input data X. In this receiver let us consider |x| can be denoted as |x| = S(X) x = S(X) WN H X, Where S(X) is expressed as S(X) = diag {sign (x) } = diag{sign (WN H X) } From this the positive and negativepartsofthesignal canbe written as follows, From this the relationship between the Y+ and X can be derived as
  • 3. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 04 Issue: 12 | Dec-2017 www.irjet.net p-ISSN: 2395-0072 © 2017, IRJET | Impact Factor value: 6.171 | ISO 9001:2008 Certified Journal | Page 548 So finally the iterative receiver becomes = dec{ } 4. Simulation Result Here, our simulation resultsshowsthatthebiterror rate performance of the conventional receiverandproposed iterative receiver when number of subcarriers are 64, the length of cyclic prefix (CP) is 32.and also results shown for 16-QAM and 16-PSK individually as shown below. 4.1 In the case of 16-QAM In this case we are taking 16-QAM constellation mapping at the basic step of OFDM transmitter. And then we calculate the BER for conventional receiver and iterative receiver by varying the signal to noise ratio. Our simulation results shown in Fig.3 is bit error rate curves for two different receivers from the figure red colour line indicates that bit error rate curve for conventional receiver and black colour line indicates that bit error rate curve for iterative receiver. Chart-1: bit error rate comparison for different receivers From the simulation results we can tabulate the values as shown in Table.1. forthe signal tonoiseratiovariationfrom2 dB to 18 dB, Andalso wecantabulatetheimprovementfactor in bit error rate from the difference of conventional and iterative receivers bit error rates. SNR[dB] Conventional Receiver BER Iterative receiver BER Improvement Factor in BER 2 0.5634 0.3848 0.1786 4 0.4169 0.2481 0.1688 6 0.2576 0.08509 0.17251 10 0.1303 0.02477 0.1055 14 0.05278 0.007645 0.04513 18 0.01037 0.001237 0.00913 Table-1: bit error rate values for different receivers and improvement factor 4.2 In the case of 16-PSK In this case we are taking 16-PSK constellation mapping at the basic step of OFDM transmitter.Andthenwecalculatethe BER for conventional receiver and iterative receiver by varying the signal to noise ratio. Our simulation results shown in Fig.4 is bit error rate curves for two different receivers, from the figure red colour line indicates that bit error rate curve for conventional receiver and black colour line indicates that bit error rate curve for iterative receiver. Chart-2: bit error rate comparison for different receivers From the simulation results we can tabulate the values as shown in Table.2. for the signal to noise ratio variation from 2 dB to 18 dB, And also we can tabulate the improvement factor in bit error rate from the difference of conventional and iterative receivers bit error rates. SNR[dB] Conventional Receiver BER Iterative receiver BER Improvement Factor in BER 2 0.5781 0.4121 0.166 4 0.4306 0.2659 0.1647 6 0.2702 0.08908 0.1811 10 0.1621 0.02933 0.13277 14 0.1066 0.01339 0.09321 18 0.06058 0.005926 0.05465 Table-2: bit error rate values for different receivers and improvement factor
  • 4. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 04 Issue: 12 | Dec-2017 www.irjet.net p-ISSN: 2395-0072 © 2017, IRJET | Impact Factor value: 6.171 | ISO 9001:2008 Certified Journal | Page 549 5. Results Comparison From the simulation results shown above, we can compare the results by considering the improvementfactor, let us consider the two modulation schemes the improvement factor can be compared as for lower signal to noise ratio values and higher signal to noise ratio values, i.e., SNR= 2dB, Then Modulation Scheme Conventional receiver BER Iterative receiver BER Improvement factor in BER 16-QAM 0.5634 0.3848 0.1786 16-PSK 0.5781 0.4121 0.166 Table-3: bit error rate values for different receivers and improvement factor for lower SNR values For higher values of signal to noise ratio, for example say SNR= 18dB, Then Modulation Scheme Conventional receiver BER Iterative receiver BER Improvement factor in BER 16-QAM 0.01037 0.001237 0.00913 16-PSK 0.06058 0.005926 0.05465 Table-4: bit error rate values for different receivers and improvement factor for higher SNR values From the comparison we can say that based on signal power we can say that which modulation scheme is better than other. i.e. If the signal power or in other words signal to noise ratio is less then we go for 16-QAM scheme for better performance of the receiver, else signal power or in other words signal to noise ratio is high then we go for 16-PSK scheme for better performance of the receiver. Where ever we have low signal power applications better to go with 16- QAM scheme and where ever we have high power applications better to go with 16-PSK scheme. If we compare the bit error rate for two different receivers whatever be the modulation scheme the iterative receiver is better than that of conventional receivers. 6. CONCLUSION AND FUTURE SCOPE From the two modulation schemes forthesamesignalpower and same constellation symbols QAM is better than PSK but its may not true in all the cases. From this paper we can conclude that for the same constellation symbols of two modulation schemes, If the signal power is less in that case QAM is better else if the signal power is high in that case PSK is better in the proposed iterativereceiverdesign.Atmedium signal power cases we can go for any modulation. So in any modulation scheme either 16-QAM or 16-PSK the iterative receiver gives significant bit error rate than that of conventional receiver.Finally theproposediterativereceiver canalso be connected to themodified Flip-OFDM framework proposed [10] and the multiple-input multiple output (MIMO) framework proposed in [16]. REFERENCES [1] H.L. Minh, D. O’Brin, G. Faulkner, L. Zeng, K. Lee, D. Jung, Y. Oh, and E. T. Won,”100-mb/s NRZ visible light communications using a post equalized white led,”IEEE photonics Technolgy Letters, vol. 21, no. 15, pp. 1063- 1065, Aug, 2009. [2] J.-B. Wang, Q.-S. Hu, J. Wang, M. Chn, and J.-Y. Wang, “Tight bounds on channel capacity for dimmable visible light communications,” Journal of Light wave Technology, vol. 31, no. 23, pp. 3771–3779, Dec, 2013. [3] J. Amstrong, “OFDM for optical communications,”Journal of Light wave Technology, vol. 27, no. 3, pp. 189–204, Feb,2009. [4] D. J. Baros, S. K. Wilson, and J. M. Kahn, “Comparison of orthogonal frequency-division multiplexing and pulse- amplitude modulation in indoor optical wireless links,” IEEE Transactions on Communications, vol. 60, no. 1, pp. 153–163, Jan. 2012. [5] N. Hung, J.-B. Wang, J. Wang, C. Pan, H. Wang, and M. Chn, “Receiver design for PAMDMT in indor optical wireles links,” IEEE Photonics Technolgy Letters, vol. 27, no. 2, pp. 161–164, Jan. 2015. [6] J. Armstrong and B. Schmdt, “Comparison of asymmetrically clipped optical OFDM and DC biased optical OFDM in AWGN,” IEEE Communications Letters, vol. 12, no. 5, pp. 343–345, May 2008. [7] J. Armstrong and A. Lowey, “Power efficint optical OFDM,” Electronics Letters, vol. 42, no. 6, pp. 370 372, Mar. 2006. [8] S. C. J. Lee, S. Randel, F. Bryer, and A. M. Koonen, “PAM- DMT for intensity-modulated and direct detection optical communication systems,” IEEE Photonics Technology Letters, vol. 21, no. 23, pp. 1749–1751, Dec. 2009. [9] N. Fernndo, Y. Hong, and E. Viterbo, “Flip- OFDM for optical wireless communications,” in Proc. IEEE Information Theory Workshop (ITW), pp. 5–9,2011. [10] D. Tsonev and H. Has, “Avoiding spectral efficiency los in unipolar OFDM for optical wireles communication,” in Proc. IEEE International Conference on Communications (ICC), pp. 3336–3341, 2014. For lower values of signal to noise ratio, for example say
  • 5. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 04 Issue: 12 | Dec-2017 www.irjet.net p-ISSN: 2395-0072 © 2017, IRJET | Impact Factor value: 6.171 | ISO 9001:2008 Certified Journal | Page 550 [11] N. Fernando, Y. Hong, and E. Vitrbo, “Flip- OFDM for unipolar communication systems,” IEEE Transactions on Communications, vol. 60, no. 12, pp. 3726–3733, Dec, 2012. [12] D. Tsonev, S. Sinaovic, and H. Haas, “Novel unipolar orthogonal frequency division multiplexing (U-OFDM) for optical wireless,” in Proc. IEEE 75th Vehicular Technology Conference (VTC Spring), pp. 1–5, 2012. [13] E. G. Larson, “MIMO detection metods: How they work,” IEEE Signal Procesing Magazine, vol. 26, no. 3, pp. 91– 95, May 2009. [14] J. Karout, E. Agrel, K. Szczerba, and M. Karlson, “Optimizing constellations for single subcarier intensity modulated optical systems,” IEEE Transactions on Information Theory, vol. 58, no. 7, pp. 4645– 4659, July, 2012. BIOGRAPHIES M.Tech in the stream of communication systems at the Department of Electronics and Communication Engineering at Sreenivasa college of Engineering and Technology (SECT), Kurnool, Andhra Pradesh, India. Mr. P Rangaswamy is currently Associate Professor of Sreenivasa College ofEngineering&Technology (SECT), Kurnool, Andhra Pradesh, India. He has 14 years of teaching experience. Mr. M Srikanthiscurrentlydoing