SlideShare a Scribd company logo
International Journal of Research in Engineering and Science (IJRES)
ISSN (Online): 2320-9364, ISSN (Print): 2320-9356
www.ijres.org Volume 3 Issue 10 ǁ October. 2015 ǁ PP.45-51
www.ijres.org 45 | Page
Reducer intermodulation noise filter for Transmission Systems
Amplitude Modulation
1
C. AQUINO, 2
D. ZAMORANO, 3
C. AGUILAR
1
ESIME CULHUACAN, National Polytechnic Institute.
2
ESIME CULHUACAN, National Polytechnic Institute.
3
ESIME CULHUACAN, National Polytechnic Institute.
Abstract: - The intention of this article is to show the effects that intermodulation noise produce in Amplitude
Modulation Systems (AM Systems ) highlighting the importance of these systems for broadcasters.In addition it
also shows a reducing intermodulation noise filter for AM transmission systems, This filter works in an ideal
manner, for example, into the modulated signal that is contaminated by noise from effects of such modulation
the filter output and the modulated signal should appear with the magnitude of the almost imperceptible noise.
To verify that the output signal is the desired, measurements ODG (Objective Difference Grade) which is a
measure of quality based on PEAQ (Perceptual Evaluation of Audio Quality) obtaining an average value of -
0.482appears a result indicating a relatively imperceptible noise.
Keywords: Filter, Noise, intermodulation frequency.
I. INTRODUCTION
Currently the broadcasters that transmit through Amplitude Modulation technique have a problem that
has persisted over the time, adding an intermodulation noise caused by the same technique and which in turn
produces a perceptible auditory reception interference. Intermodulation noise is defined as energy generated by
the sums and differences created by the amplification of two or more frequencies in a nonlinear amplifier [1].
The carrier frequencies of amplitude modulation (AM) are in the frequency range of 535 kHz to 1605 kHz
leaving 5kHz as error margin at each end of the range, the carrier frequencies of 540 kHz to 1600 kHz are
allocated to 10 kHz [1].
The information signals are to be transported between a transmitter and a receiver via some form of
transmission. The modulation is defined as the process of transforming information from its original form to a
form suitable for transmission. Demodulation is the inverse process, that is, the modulated wave is converted
back to its original position [1]. The modulation is performed at the transmitter circuit called modulator and
demodulation is performed in the receiver in a demodulator or detector circuit.
Figure 1 shows a block diagram of a transmission –reception system.
Fig.1 Block diagram of an ideal Transmission System.
In figure 1 Intermodulation noise can be displayed upcoming from the transmission source. This noise is what
we want to analyze for its deletion in this article.
In section 2 the conceptual approaches relating to the subject of Amplitude Modulation are shown and in section
3 the development and design of the filter as a solution to the suppression of intermodulation noise.The results
of the filtering process are shown in section 4. Section 5 refers to the conclusions and evaluation of the proposed
objectives and finally in Section 6 it shows the consulting references.
II. CONCEPTUAL APPROXIMATIONS OR APPROACHES
This section describes the conceptual approaches related to the issue of amplitude modulation.
Baseband: We talk about baseband signal when the emitted messages are designated.
Reducer intermodulation noise filter for Transmission Systems Amplitude Modulation
www.ijres.org 46 | Page
Bandwidth: The bandwidth of a signal is the extension of the frequencies over which the signal has a superior
power at certain limit. For amplitude modulation (AM) bandwidth is expressed in kHz.
Signal spectrum: Designates the distribution of signal power in the frequency domain and is sometimes called
Power Spectral Density (PSD). Then the equation defining the spectrum is shown like:
𝐷𝑆𝑃 = ℱ 𝑥 𝑡
2
Where:
DSP = power spectral density (frequency spectrum)
x (t) = the original signal in time domain
Amplitude Modulation: The process of changing the amplitude of relatively high frequency carrier according to
the amplitude of the modulating signal (information). Amplitude modulation is a form of modulation relatively
inexpensive and a low transmission quality generally used in the radio broadcast audio and video signals [2].
Radio frequencies: frequencies high enough to efficiently radiate an antenna and propagated through free space,
are commonly called RF.
Intermodulation noise: It happens when signals of different frequencies involved in the modulation process
share the same transmission via. It is regarded as unwanted cross-product frequencies (sum and difference)
created when two or more signals are amplified in a nonlinear device.
AM modulator is a nonlinear device that requires two input signals a carrier of constant amplitude and
frequency and only the information signal.
AM modulation process: modifies the information carrier and can be a waveform frequency of simple or
complex composed of many frequencies which were originated from one or more sources.
Signal to noise ratio (SNR): It is a mathematical ratio that measures the level of signal-to-noise level at a certain
point, mathematically:
𝑆
𝑅
=
𝑆𝑖𝑔𝑛𝑎𝑙𝑉𝑜𝑙𝑡𝑎𝑔𝑒
𝑁𝑜𝑖𝑠𝑒𝑉𝑜𝑙𝑡𝑎𝑔𝑒
2
=
𝑣 𝑆
𝑣 𝑁
2
or
𝑆
𝑁
𝑑𝐵 = 20 log
𝑉𝑠
𝑉 𝑁
𝑠
𝑅
=
𝑆𝑖𝑔𝑛𝑎𝑙𝑃𝑜𝑤𝑒𝑟
𝑁𝑜𝑖𝑠𝑒𝑃𝑜𝑤𝑒𝑟
2
=
𝑃𝑠
𝑃 𝑁
or
𝑆
𝑁
𝑑𝐵 = 10 log
𝑃 𝑆
𝑃 𝑁
Modulation ratio: Term used to describe the amount of change of amplitude (modulation) present in a waveform
of AM. It is expressed in percentage and provides the change in amplitude of the output waveform when it is
acting on the carrier by a modulating signal, mathematically:
𝑚 =
𝐸 𝑚
𝐸𝑐
where:
m = Modulation coefficient (dimensionless)
Em = Change in peak voltage amplitude of the output waveform (volts)
Ec = peak amplitude of the non-modulated carrier voltage (volts)
In figure 2 the existing amplitude modulations and respective modulation index is:
Fig. 2Amplitude Modulation. a) In the top 50% modulation of the carrier is displayed. b) In the middle of 100%
modulation shown because the carrier will be zero (deleted). c) The overshoot can be observed at the bottom and
corresponds to a 150% modulation index.
Reducer intermodulation noise filter for Transmission Systems Amplitude Modulation
www.ijres.org 47 | Page
Then, where the proposed development of the electronic filter is displayed is shown.
III. DEVELOPMENT
The development of this work is divided into two main parts: assembly of the modulator circuit and reducing
filter design. We begin by mounting the AM modulator circuit which is based on the following diagram:
Fig. 3 AM modulator based on integrated circuit MC1496.
Figure 3 shows the electronic diagram of a typical AM modulator. Note that two input signals are
necessary; the first signal is a carrier frequency, the carrier frequency should be greater than the information
signal we want to convey and that the carrier will be our means of transport, the second signal is needed since it
is the modulator or modulating signal, this signal is the information to be transmitted and is usually the voice.
The bandwidth for AM frequencies in Mexico is defined by the range of 535 to 1705kHz [2].
The filter circuit is designed as low active component, conveniently are necessary components not requiring
external power and they also generate a power gain (essential parameter when transmitting). Table 1 showsthe
normalization parameters of the filter and that will help calculate the components involved in the filter.
Table 1. Standard values for calculating electrical parameters (capacitors and resistors)
Reducer intermodulation noise filter for Transmission Systems Amplitude Modulation
www.ijres.org 48 | Page
The following chart will support the design of the filter because it will be the one to dictate what frequency must
pass the filter and which should be rejected.
Fig. 4 Graph of the frequency response, F1 and F2 are band pass filter cutoff frequency for example the
frequency range to be considered for design
.
To prevent intermodulation noise, at the modulator output prevails a band pass filter designed and this
will allow access to frequencies between the AM (535 to 1705kHz) spectrum. The band pass filter is composed
of two parts: a high pass filter, which has the cutoff frequency one F1 will be our lower limit access, for
example 535kHz and low pass filter with cutoff frequency F2 will be our upper limit access, i.e. 1705 kHz. Then
the equations to calculate the elements and the electronic design of the filter are:
𝑛 =
log
𝜀2
𝜀1
log
𝑓𝑝
𝑓𝑠
𝜀1 = 10 0.1∗𝐺 𝑝 − 1
𝜀2 = 10 0.1∗𝐺 𝑠 − 1
𝐶𝑛 =
1
2𝜋𝑓𝑝 𝑅
𝑤𝑕𝑒𝑟𝑒:
𝑛 = 𝑓𝑖𝑙𝑡𝑒𝑟𝑜𝑟𝑑𝑒𝑟
𝑓𝑠 = 𝑅𝑒𝑗𝑒𝑐𝑡𝑖𝑜𝑛𝑓𝑟𝑒𝑞𝑢𝑒𝑛𝑐𝑦 (𝑓𝑟𝑒𝑞𝑢𝑒𝑛𝑐𝑦𝑟𝑎𝑛𝑔𝑒)
𝑓𝑝 = 𝑃𝑎𝑠𝑠𝑓𝑟𝑒𝑞𝑢𝑒𝑛𝑐𝑦 (𝑐𝑢𝑡𝑜𝑓𝑓𝑓𝑟𝑒𝑞𝑢𝑒𝑛𝑐𝑦)
𝐺𝑝 = 𝐺𝑎𝑖𝑛𝑠𝑡𝑒𝑝
𝐺𝑠 = 𝑅𝑒𝑗𝑒𝑐𝑡𝑖𝑜𝑛𝑔𝑎𝑖𝑛
𝐶𝑛 = 𝑆𝑐𝑎𝑙𝑒𝑓𝑎𝑐𝑡𝑜𝑟
Electronic for designing filters are only two configurations [1]: second and third order because mixtures of these
devices we would yield larger orders, for example; if it is a filter of order seven could connect two
configurations of order two and a configuration of three series order so that together form the order seven.
Fig. 5 active filters respectively second and third order
Then filter design will be displayed, we begin to show the graph of the frequency response which will be
designed the filter and go from there to make the necessary calculations.According to the theory of AM [4]
modulation range of allowable frequencies it is from 535 kHz up to 1705 kHz so take that frequency range and
Reducer intermodulation noise filter for Transmission Systems Amplitude Modulation
www.ijres.org 49 | Page
each end is the rejection frequency, ie that for over 1705 frequencies kHz step is prevented and frequencies
below 535 kHz are also inadmissible
Fig. 6 filter frequency response proposed
A band pass [3] filter is designed by two filters, one high pass and one low pass connected in series.
The high pass filter it will be as shown in the figure:
Fig. 7 highpass filter (half of the total filter)
The low pass filter will be as shown in the figure.
FIG. 8 low pass filter (half band pass filter)
The total band pass filter is the series connection of the low-pass and high-pass to the output of the AM
modulator (since at this stage is where the intermodulation noise occurs)
To verify that the filter was audibly and effectively functioning the following scheme was implemented based
on PEAQ established by the International Telecommunications Union. This process is performed by calculating
a correlation of the signal obtained from the expected signal.
FIG. 9 Schemeproposed PEAQ
Table 2. Comparative metrics of the original signal to the expected
Perception Grade PEAQ
Imperceptible 0 a -1
Slightly perceptible -1.1 a -2
Perceptible -2.1 a -3
Very perceptible -3.1 a -4
Reducer intermodulation noise filter for Transmission Systems Amplitude Modulation
www.ijres.org 50 | Page
Below are the results of the modulation stages and the filtrate.
IV. RESULTS
The following figures show the results that appeared in the scope while implementing the amplitude modulator
circuit (AM modulator)
FIG. 9 Amplitude Modulation suppressed carrier (n = 1)
FIG. 10 amplitude modulated high power
(n = 0.5)
FIG. 11 Amplitude Modulation with overshoot (n = 1.5)
Reducer intermodulation noise filter for Transmission Systems Amplitude Modulation
www.ijres.org 51 | Page
FIG. 11 Response band pass filter
V. CONCLUSIONS
The band pass filters are formed by two filters: a high pass and a low pass connected in series, for
example one after the other.
In this project we do not consider the ripple factor as it is being considered onlyfor ideal answers of modulation
and filtering, so that is why these calculations do not appear within the work
The values of the electronic devices used are not exactly what we use in the actual implementation due to non-
market values, so we decided to bring them closer to the values that are tradable and that may be for sale
Intermodulation noise is a problem that has been afflicting mainly AM modulation schemes because of their
vulnerability.
BIBLIOGRAPHIC REFERENCES
[1]. Couch W. Leon, "Digital Communication Systems and Analog”, 7ª Edition, Prentice Hall.
[2]. Chen-hao Qi, et. al., “Hybrid Modulation for AM Broadcasting”, Third International Conference on
Natural Computation, 2007
[3]. Ghoshal, S., et. al., “Modeling amplitude-modulated (AM) tone encoding behavior of cochlear nucleus
neurons”, Seventeenth Annual Northeast Bioengineering Conference, 2005
[4]. Fahmi Bin, Hussin, Bin Yon, “Readability of Amplitude Modulation (AM) detector laboratory sheet,
International RF and Microwave Conference, 2011
AUTHOR PROFILE:
Carlos Aquino Ruiz was born in Mexico on April 2, 1973 is in Communications and
Electronics Engineering from the National Polytechnic Institute IPN, a research professor and
areas of development are applied computing, data networking and security.
Dolores Zamorano Saavedra. She is a methodological research and has master's degree in
Educational Sciences. Nowadays it is a research professor at the School of Mechanical and
Electrical Engineering (ESIME) in Mexico. Her areas of development are assessment and
project development, scientific writing and methodology of science
Celedonio Enrique Aguilar Meza was born in Mexico on march 3, 1959 and holds a degree
in communications and electronics from the National Polytechnic Institute IPN, is currently
research professor and development areas are the processing and handling, coding and
compression, safety and efficient transmission.

More Related Content

What's hot

Chapter03 fm modulation
Chapter03 fm modulationChapter03 fm modulation
Chapter03 fm modulation
Muhamamd Awaissaleem
 
Communication system 1 chapter 3 - am-power
Communication system 1 chapter 3 - am-powerCommunication system 1 chapter 3 - am-power
Communication system 1 chapter 3 - am-power
BetelihemMesfin1
 
Modulation Techniques for Mobile Radio
Modulation Techniques for Mobile RadioModulation Techniques for Mobile Radio
Modulation Techniques for Mobile Radio
METHODIST COLLEGE OF ENGG & TECH
 
Communication Engineering- Unit 1
Communication Engineering- Unit 1Communication Engineering- Unit 1
Communication Engineering- Unit 1
RemyaRoseS
 
Cancellation of white and color
Cancellation of white and colorCancellation of white and color
Cancellation of white and color
ijwmn
 
Communication system 1 chapter 2-part-2
Communication system 1 chapter  2-part-2Communication system 1 chapter  2-part-2
Communication system 1 chapter 2-part-2
BetelihemMesfin1
 
Development of a receiver circuit for medium frequency shift keying signals.
Development of a receiver circuit for medium frequency shift keying signals.Development of a receiver circuit for medium frequency shift keying signals.
Development of a receiver circuit for medium frequency shift keying signals.
inventionjournals
 
Modulation techniques
Modulation techniquesModulation techniques
Modulation techniques
keerthanapothula
 
311 communication system concepts
311 communication system concepts311 communication system concepts
311 communication system concepts
Mohammad Bappy
 
solution manual of goldsmith wireless communication
solution manual of goldsmith wireless communicationsolution manual of goldsmith wireless communication
solution manual of goldsmith wireless communication
NIT Raipur
 
Chapter 1 dep3273
Chapter 1 dep3273Chapter 1 dep3273
Chapter 1 dep3273
Noor Hanisah Abdullah
 
Frequency coordination-between-umts-and-gsm-systems-900-mhz
Frequency coordination-between-umts-and-gsm-systems-900-mhzFrequency coordination-between-umts-and-gsm-systems-900-mhz
Frequency coordination-between-umts-and-gsm-systems-900-mhz
Mahmoud Abd Elrahman
 
Frequency coordination between umts and gsm systems at 900 m hz
Frequency coordination between umts and gsm systems at 900 m hzFrequency coordination between umts and gsm systems at 900 m hz
Frequency coordination between umts and gsm systems at 900 m hz
Georgios Giannakopoulos
 
Transmission impairments
Transmission impairmentsTransmission impairments
Transmission impairmentsavocado1111
 
Communications
CommunicationsCommunications
Communications
Waqas !!!!
 
Analog vs digital communication
Analog vs digital communicationAnalog vs digital communication
Analog vs digital communication
Sahil Rana
 
EC6651 COMMUNICATION ENGINEERING UNIT 2
EC6651 COMMUNICATION ENGINEERING UNIT 2EC6651 COMMUNICATION ENGINEERING UNIT 2
EC6651 COMMUNICATION ENGINEERING UNIT 2
RMK ENGINEERING COLLEGE, CHENNAI
 
Minimize MIMO OFDM interference and noise ratio using polynomial-time algorit...
Minimize MIMO OFDM interference and noise ratio using polynomial-time algorit...Minimize MIMO OFDM interference and noise ratio using polynomial-time algorit...
Minimize MIMO OFDM interference and noise ratio using polynomial-time algorit...
IJECEIAES
 
15934 am demodulation
15934 am demodulation15934 am demodulation
15934 am demodulationManish Kumar
 

What's hot (20)

Amplitude modulation
Amplitude modulationAmplitude modulation
Amplitude modulation
 
Chapter03 fm modulation
Chapter03 fm modulationChapter03 fm modulation
Chapter03 fm modulation
 
Communication system 1 chapter 3 - am-power
Communication system 1 chapter 3 - am-powerCommunication system 1 chapter 3 - am-power
Communication system 1 chapter 3 - am-power
 
Modulation Techniques for Mobile Radio
Modulation Techniques for Mobile RadioModulation Techniques for Mobile Radio
Modulation Techniques for Mobile Radio
 
Communication Engineering- Unit 1
Communication Engineering- Unit 1Communication Engineering- Unit 1
Communication Engineering- Unit 1
 
Cancellation of white and color
Cancellation of white and colorCancellation of white and color
Cancellation of white and color
 
Communication system 1 chapter 2-part-2
Communication system 1 chapter  2-part-2Communication system 1 chapter  2-part-2
Communication system 1 chapter 2-part-2
 
Development of a receiver circuit for medium frequency shift keying signals.
Development of a receiver circuit for medium frequency shift keying signals.Development of a receiver circuit for medium frequency shift keying signals.
Development of a receiver circuit for medium frequency shift keying signals.
 
Modulation techniques
Modulation techniquesModulation techniques
Modulation techniques
 
311 communication system concepts
311 communication system concepts311 communication system concepts
311 communication system concepts
 
solution manual of goldsmith wireless communication
solution manual of goldsmith wireless communicationsolution manual of goldsmith wireless communication
solution manual of goldsmith wireless communication
 
Chapter 1 dep3273
Chapter 1 dep3273Chapter 1 dep3273
Chapter 1 dep3273
 
Frequency coordination-between-umts-and-gsm-systems-900-mhz
Frequency coordination-between-umts-and-gsm-systems-900-mhzFrequency coordination-between-umts-and-gsm-systems-900-mhz
Frequency coordination-between-umts-and-gsm-systems-900-mhz
 
Frequency coordination between umts and gsm systems at 900 m hz
Frequency coordination between umts and gsm systems at 900 m hzFrequency coordination between umts and gsm systems at 900 m hz
Frequency coordination between umts and gsm systems at 900 m hz
 
Transmission impairments
Transmission impairmentsTransmission impairments
Transmission impairments
 
Communications
CommunicationsCommunications
Communications
 
Analog vs digital communication
Analog vs digital communicationAnalog vs digital communication
Analog vs digital communication
 
EC6651 COMMUNICATION ENGINEERING UNIT 2
EC6651 COMMUNICATION ENGINEERING UNIT 2EC6651 COMMUNICATION ENGINEERING UNIT 2
EC6651 COMMUNICATION ENGINEERING UNIT 2
 
Minimize MIMO OFDM interference and noise ratio using polynomial-time algorit...
Minimize MIMO OFDM interference and noise ratio using polynomial-time algorit...Minimize MIMO OFDM interference and noise ratio using polynomial-time algorit...
Minimize MIMO OFDM interference and noise ratio using polynomial-time algorit...
 
15934 am demodulation
15934 am demodulation15934 am demodulation
15934 am demodulation
 

Similar to Reducer intermodulation noise filter for Transmission Systems Amplitude Modulation

ADC Digital Modulation
ADC   Digital ModulationADC   Digital Modulation
ADC Digital Modulation
Eng. Dr. Dennis N. Mwighusa
 
analog communication system for undergraduate .pdf
analog communication  system for undergraduate .pdfanalog communication  system for undergraduate .pdf
analog communication system for undergraduate .pdf
AlaAwouda
 
Mba ebooks
Mba ebooksMba ebooks
Mba ebooks
Edhole.com
 
Introduction to communication system lecture3
Introduction to communication system lecture3Introduction to communication system lecture3
Introduction to communication system lecture3
Jumaan Ally Mohamed
 
Ijarcet vol-2-issue-3-861-866
Ijarcet vol-2-issue-3-861-866Ijarcet vol-2-issue-3-861-866
Ijarcet vol-2-issue-3-861-866Editor IJARCET
 
BER PERFORMANCE ANALYSIS OF OFDM IN COGNITIVE RADIO NETWORK IN RAYLEIGH FADIN...
BER PERFORMANCE ANALYSIS OF OFDM IN COGNITIVE RADIO NETWORK IN RAYLEIGH FADIN...BER PERFORMANCE ANALYSIS OF OFDM IN COGNITIVE RADIO NETWORK IN RAYLEIGH FADIN...
BER PERFORMANCE ANALYSIS OF OFDM IN COGNITIVE RADIO NETWORK IN RAYLEIGH FADIN...
International Journal of Technical Research & Application
 
Basics of labview in analog communication systems
Basics of labview in analog communication systemsBasics of labview in analog communication systems
Basics of labview in analog communication systems
Wriddhirup Dutta
 
LECTURE 3.pptx
LECTURE 3.pptxLECTURE 3.pptx
LECTURE 3.pptx
NathanielAdika1
 
Module 1 PCS notes.pptx
Module 1 PCS notes.pptxModule 1 PCS notes.pptx
Module 1 PCS notes.pptx
SaralaT3
 
Analysis and Estimation of Harmonics Using Wavelet Technique
Analysis and Estimation of Harmonics Using Wavelet TechniqueAnalysis and Estimation of Harmonics Using Wavelet Technique
Analysis and Estimation of Harmonics Using Wavelet Technique
Radita Apriana
 
Business utiliity plan for business management
Business utiliity plan for business managementBusiness utiliity plan for business management
Business utiliity plan for business management
DhirajPatel58
 
Communication system 1 chapter 1 ppt
Communication system 1 chapter  1 pptCommunication system 1 chapter  1 ppt
Communication system 1 chapter 1 ppt
BetelihemMesfin1
 
Physics Class 12 Communication Powerpoint presentation
Physics Class 12 Communication Powerpoint presentationPhysics Class 12 Communication Powerpoint presentation
Physics Class 12 Communication Powerpoint presentation
Bibin Vincent
 
Distortion annalyser
Distortion annalyserDistortion annalyser
Distortion annalyser
mks mk
 
5. An analog filer has system fnction Ha(s)--a (a) (10 pts,) Comvert .pdf
5. An analog filer has system fnction Ha(s)--a (a) (10 pts,) Comvert .pdf5. An analog filer has system fnction Ha(s)--a (a) (10 pts,) Comvert .pdf
5. An analog filer has system fnction Ha(s)--a (a) (10 pts,) Comvert .pdf
info324235
 
Iaetsd performance analysis of multicarrier ds-cdma
Iaetsd performance analysis of multicarrier ds-cdmaIaetsd performance analysis of multicarrier ds-cdma
Iaetsd performance analysis of multicarrier ds-cdma
Iaetsd Iaetsd
 
Pulse Shaping FIR Filter for WCDMA
Pulse Shaping FIR Filter for WCDMAPulse Shaping FIR Filter for WCDMA
Pulse Shaping FIR Filter for WCDMA
Bhagwat Singh Rathore
 
Capacity Enhancement of MIMO-OFDM System in Rayleigh Fading Channel
Capacity Enhancement of MIMO-OFDM System in Rayleigh Fading ChannelCapacity Enhancement of MIMO-OFDM System in Rayleigh Fading Channel
Capacity Enhancement of MIMO-OFDM System in Rayleigh Fading Channel
IOSR Journals
 
Capacity Enhancement of MIMO-OFDM System in Rayleigh Fading Channel
Capacity Enhancement of MIMO-OFDM System in Rayleigh Fading ChannelCapacity Enhancement of MIMO-OFDM System in Rayleigh Fading Channel
Capacity Enhancement of MIMO-OFDM System in Rayleigh Fading Channel
IOSR Journals
 

Similar to Reducer intermodulation noise filter for Transmission Systems Amplitude Modulation (20)

ADC Digital Modulation
ADC   Digital ModulationADC   Digital Modulation
ADC Digital Modulation
 
analog communication system for undergraduate .pdf
analog communication  system for undergraduate .pdfanalog communication  system for undergraduate .pdf
analog communication system for undergraduate .pdf
 
Mba ebooks
Mba ebooksMba ebooks
Mba ebooks
 
Introduction to communication system lecture3
Introduction to communication system lecture3Introduction to communication system lecture3
Introduction to communication system lecture3
 
Ijarcet vol-2-issue-3-861-866
Ijarcet vol-2-issue-3-861-866Ijarcet vol-2-issue-3-861-866
Ijarcet vol-2-issue-3-861-866
 
BER PERFORMANCE ANALYSIS OF OFDM IN COGNITIVE RADIO NETWORK IN RAYLEIGH FADIN...
BER PERFORMANCE ANALYSIS OF OFDM IN COGNITIVE RADIO NETWORK IN RAYLEIGH FADIN...BER PERFORMANCE ANALYSIS OF OFDM IN COGNITIVE RADIO NETWORK IN RAYLEIGH FADIN...
BER PERFORMANCE ANALYSIS OF OFDM IN COGNITIVE RADIO NETWORK IN RAYLEIGH FADIN...
 
Basics of labview in analog communication systems
Basics of labview in analog communication systemsBasics of labview in analog communication systems
Basics of labview in analog communication systems
 
LECTURE 3.pptx
LECTURE 3.pptxLECTURE 3.pptx
LECTURE 3.pptx
 
Module 1 PCS notes.pptx
Module 1 PCS notes.pptxModule 1 PCS notes.pptx
Module 1 PCS notes.pptx
 
Analysis and Estimation of Harmonics Using Wavelet Technique
Analysis and Estimation of Harmonics Using Wavelet TechniqueAnalysis and Estimation of Harmonics Using Wavelet Technique
Analysis and Estimation of Harmonics Using Wavelet Technique
 
t23notes
t23notest23notes
t23notes
 
Business utiliity plan for business management
Business utiliity plan for business managementBusiness utiliity plan for business management
Business utiliity plan for business management
 
Communication system 1 chapter 1 ppt
Communication system 1 chapter  1 pptCommunication system 1 chapter  1 ppt
Communication system 1 chapter 1 ppt
 
Physics Class 12 Communication Powerpoint presentation
Physics Class 12 Communication Powerpoint presentationPhysics Class 12 Communication Powerpoint presentation
Physics Class 12 Communication Powerpoint presentation
 
Distortion annalyser
Distortion annalyserDistortion annalyser
Distortion annalyser
 
5. An analog filer has system fnction Ha(s)--a (a) (10 pts,) Comvert .pdf
5. An analog filer has system fnction Ha(s)--a (a) (10 pts,) Comvert .pdf5. An analog filer has system fnction Ha(s)--a (a) (10 pts,) Comvert .pdf
5. An analog filer has system fnction Ha(s)--a (a) (10 pts,) Comvert .pdf
 
Iaetsd performance analysis of multicarrier ds-cdma
Iaetsd performance analysis of multicarrier ds-cdmaIaetsd performance analysis of multicarrier ds-cdma
Iaetsd performance analysis of multicarrier ds-cdma
 
Pulse Shaping FIR Filter for WCDMA
Pulse Shaping FIR Filter for WCDMAPulse Shaping FIR Filter for WCDMA
Pulse Shaping FIR Filter for WCDMA
 
Capacity Enhancement of MIMO-OFDM System in Rayleigh Fading Channel
Capacity Enhancement of MIMO-OFDM System in Rayleigh Fading ChannelCapacity Enhancement of MIMO-OFDM System in Rayleigh Fading Channel
Capacity Enhancement of MIMO-OFDM System in Rayleigh Fading Channel
 
Capacity Enhancement of MIMO-OFDM System in Rayleigh Fading Channel
Capacity Enhancement of MIMO-OFDM System in Rayleigh Fading ChannelCapacity Enhancement of MIMO-OFDM System in Rayleigh Fading Channel
Capacity Enhancement of MIMO-OFDM System in Rayleigh Fading Channel
 

More from IJRES Journal

Exploratory study on the use of crushed cockle shell as partial sand replacem...
Exploratory study on the use of crushed cockle shell as partial sand replacem...Exploratory study on the use of crushed cockle shell as partial sand replacem...
Exploratory study on the use of crushed cockle shell as partial sand replacem...
IJRES Journal
 
Congenital Malaria: Correlation of Umbilical Cord Plasmodium falciparum Paras...
Congenital Malaria: Correlation of Umbilical Cord Plasmodium falciparum Paras...Congenital Malaria: Correlation of Umbilical Cord Plasmodium falciparum Paras...
Congenital Malaria: Correlation of Umbilical Cord Plasmodium falciparum Paras...
IJRES Journal
 
Review: Nonlinear Techniques for Analysis of Heart Rate Variability
Review: Nonlinear Techniques for Analysis of Heart Rate VariabilityReview: Nonlinear Techniques for Analysis of Heart Rate Variability
Review: Nonlinear Techniques for Analysis of Heart Rate Variability
IJRES Journal
 
Dynamic Modeling for Gas Phase Propylene Copolymerization in a Fluidized Bed ...
Dynamic Modeling for Gas Phase Propylene Copolymerization in a Fluidized Bed ...Dynamic Modeling for Gas Phase Propylene Copolymerization in a Fluidized Bed ...
Dynamic Modeling for Gas Phase Propylene Copolymerization in a Fluidized Bed ...
IJRES Journal
 
Study and evaluation for different types of Sudanese crude oil properties
Study and evaluation for different types of Sudanese crude oil propertiesStudy and evaluation for different types of Sudanese crude oil properties
Study and evaluation for different types of Sudanese crude oil properties
IJRES Journal
 
A Short Report on Different Wavelets and Their Structures
A Short Report on Different Wavelets and Their StructuresA Short Report on Different Wavelets and Their Structures
A Short Report on Different Wavelets and Their Structures
IJRES Journal
 
A Case Study on Academic Services Application Using Agile Methodology for Mob...
A Case Study on Academic Services Application Using Agile Methodology for Mob...A Case Study on Academic Services Application Using Agile Methodology for Mob...
A Case Study on Academic Services Application Using Agile Methodology for Mob...
IJRES Journal
 
Wear Analysis on Cylindrical Cam with Flexible Rod
Wear Analysis on Cylindrical Cam with Flexible RodWear Analysis on Cylindrical Cam with Flexible Rod
Wear Analysis on Cylindrical Cam with Flexible Rod
IJRES Journal
 
DDOS Attacks-A Stealthy Way of Implementation and Detection
DDOS Attacks-A Stealthy Way of Implementation and DetectionDDOS Attacks-A Stealthy Way of Implementation and Detection
DDOS Attacks-A Stealthy Way of Implementation and Detection
IJRES Journal
 
An improved fading Kalman filter in the application of BDS dynamic positioning
An improved fading Kalman filter in the application of BDS dynamic positioningAn improved fading Kalman filter in the application of BDS dynamic positioning
An improved fading Kalman filter in the application of BDS dynamic positioning
IJRES Journal
 
Positioning Error Analysis and Compensation of Differential Precision Workbench
Positioning Error Analysis and Compensation of Differential Precision WorkbenchPositioning Error Analysis and Compensation of Differential Precision Workbench
Positioning Error Analysis and Compensation of Differential Precision Workbench
IJRES Journal
 
Status of Heavy metal pollution in Mithi river: Then and Now
Status of Heavy metal pollution in Mithi river: Then and NowStatus of Heavy metal pollution in Mithi river: Then and Now
Status of Heavy metal pollution in Mithi river: Then and Now
IJRES Journal
 
The Low-Temperature Radiant Floor Heating System Design and Experimental Stud...
The Low-Temperature Radiant Floor Heating System Design and Experimental Stud...The Low-Temperature Radiant Floor Heating System Design and Experimental Stud...
The Low-Temperature Radiant Floor Heating System Design and Experimental Stud...
IJRES Journal
 
Experimental study on critical closing pressure of mudstone fractured reservoirs
Experimental study on critical closing pressure of mudstone fractured reservoirsExperimental study on critical closing pressure of mudstone fractured reservoirs
Experimental study on critical closing pressure of mudstone fractured reservoirs
IJRES Journal
 
Correlation Analysis of Tool Wear and Cutting Sound Signal
Correlation Analysis of Tool Wear and Cutting Sound SignalCorrelation Analysis of Tool Wear and Cutting Sound Signal
Correlation Analysis of Tool Wear and Cutting Sound Signal
IJRES Journal
 
Reduce Resources for Privacy in Mobile Cloud Computing Using Blowfish and DSA...
Reduce Resources for Privacy in Mobile Cloud Computing Using Blowfish and DSA...Reduce Resources for Privacy in Mobile Cloud Computing Using Blowfish and DSA...
Reduce Resources for Privacy in Mobile Cloud Computing Using Blowfish and DSA...
IJRES Journal
 
Resistance of Dryland Rice to Stem Borer (Scirpophaga incertulas Wlk.) Using ...
Resistance of Dryland Rice to Stem Borer (Scirpophaga incertulas Wlk.) Using ...Resistance of Dryland Rice to Stem Borer (Scirpophaga incertulas Wlk.) Using ...
Resistance of Dryland Rice to Stem Borer (Scirpophaga incertulas Wlk.) Using ...
IJRES Journal
 
A novel high-precision curvature-compensated CMOS bandgap reference without u...
A novel high-precision curvature-compensated CMOS bandgap reference without u...A novel high-precision curvature-compensated CMOS bandgap reference without u...
A novel high-precision curvature-compensated CMOS bandgap reference without u...
IJRES Journal
 
Structural aspect on carbon dioxide capture in nanotubes
Structural aspect on carbon dioxide capture in nanotubesStructural aspect on carbon dioxide capture in nanotubes
Structural aspect on carbon dioxide capture in nanotubes
IJRES Journal
 
Thesummaryabout fuzzy control parameters selected based on brake driver inten...
Thesummaryabout fuzzy control parameters selected based on brake driver inten...Thesummaryabout fuzzy control parameters selected based on brake driver inten...
Thesummaryabout fuzzy control parameters selected based on brake driver inten...
IJRES Journal
 

More from IJRES Journal (20)

Exploratory study on the use of crushed cockle shell as partial sand replacem...
Exploratory study on the use of crushed cockle shell as partial sand replacem...Exploratory study on the use of crushed cockle shell as partial sand replacem...
Exploratory study on the use of crushed cockle shell as partial sand replacem...
 
Congenital Malaria: Correlation of Umbilical Cord Plasmodium falciparum Paras...
Congenital Malaria: Correlation of Umbilical Cord Plasmodium falciparum Paras...Congenital Malaria: Correlation of Umbilical Cord Plasmodium falciparum Paras...
Congenital Malaria: Correlation of Umbilical Cord Plasmodium falciparum Paras...
 
Review: Nonlinear Techniques for Analysis of Heart Rate Variability
Review: Nonlinear Techniques for Analysis of Heart Rate VariabilityReview: Nonlinear Techniques for Analysis of Heart Rate Variability
Review: Nonlinear Techniques for Analysis of Heart Rate Variability
 
Dynamic Modeling for Gas Phase Propylene Copolymerization in a Fluidized Bed ...
Dynamic Modeling for Gas Phase Propylene Copolymerization in a Fluidized Bed ...Dynamic Modeling for Gas Phase Propylene Copolymerization in a Fluidized Bed ...
Dynamic Modeling for Gas Phase Propylene Copolymerization in a Fluidized Bed ...
 
Study and evaluation for different types of Sudanese crude oil properties
Study and evaluation for different types of Sudanese crude oil propertiesStudy and evaluation for different types of Sudanese crude oil properties
Study and evaluation for different types of Sudanese crude oil properties
 
A Short Report on Different Wavelets and Their Structures
A Short Report on Different Wavelets and Their StructuresA Short Report on Different Wavelets and Their Structures
A Short Report on Different Wavelets and Their Structures
 
A Case Study on Academic Services Application Using Agile Methodology for Mob...
A Case Study on Academic Services Application Using Agile Methodology for Mob...A Case Study on Academic Services Application Using Agile Methodology for Mob...
A Case Study on Academic Services Application Using Agile Methodology for Mob...
 
Wear Analysis on Cylindrical Cam with Flexible Rod
Wear Analysis on Cylindrical Cam with Flexible RodWear Analysis on Cylindrical Cam with Flexible Rod
Wear Analysis on Cylindrical Cam with Flexible Rod
 
DDOS Attacks-A Stealthy Way of Implementation and Detection
DDOS Attacks-A Stealthy Way of Implementation and DetectionDDOS Attacks-A Stealthy Way of Implementation and Detection
DDOS Attacks-A Stealthy Way of Implementation and Detection
 
An improved fading Kalman filter in the application of BDS dynamic positioning
An improved fading Kalman filter in the application of BDS dynamic positioningAn improved fading Kalman filter in the application of BDS dynamic positioning
An improved fading Kalman filter in the application of BDS dynamic positioning
 
Positioning Error Analysis and Compensation of Differential Precision Workbench
Positioning Error Analysis and Compensation of Differential Precision WorkbenchPositioning Error Analysis and Compensation of Differential Precision Workbench
Positioning Error Analysis and Compensation of Differential Precision Workbench
 
Status of Heavy metal pollution in Mithi river: Then and Now
Status of Heavy metal pollution in Mithi river: Then and NowStatus of Heavy metal pollution in Mithi river: Then and Now
Status of Heavy metal pollution in Mithi river: Then and Now
 
The Low-Temperature Radiant Floor Heating System Design and Experimental Stud...
The Low-Temperature Radiant Floor Heating System Design and Experimental Stud...The Low-Temperature Radiant Floor Heating System Design and Experimental Stud...
The Low-Temperature Radiant Floor Heating System Design and Experimental Stud...
 
Experimental study on critical closing pressure of mudstone fractured reservoirs
Experimental study on critical closing pressure of mudstone fractured reservoirsExperimental study on critical closing pressure of mudstone fractured reservoirs
Experimental study on critical closing pressure of mudstone fractured reservoirs
 
Correlation Analysis of Tool Wear and Cutting Sound Signal
Correlation Analysis of Tool Wear and Cutting Sound SignalCorrelation Analysis of Tool Wear and Cutting Sound Signal
Correlation Analysis of Tool Wear and Cutting Sound Signal
 
Reduce Resources for Privacy in Mobile Cloud Computing Using Blowfish and DSA...
Reduce Resources for Privacy in Mobile Cloud Computing Using Blowfish and DSA...Reduce Resources for Privacy in Mobile Cloud Computing Using Blowfish and DSA...
Reduce Resources for Privacy in Mobile Cloud Computing Using Blowfish and DSA...
 
Resistance of Dryland Rice to Stem Borer (Scirpophaga incertulas Wlk.) Using ...
Resistance of Dryland Rice to Stem Borer (Scirpophaga incertulas Wlk.) Using ...Resistance of Dryland Rice to Stem Borer (Scirpophaga incertulas Wlk.) Using ...
Resistance of Dryland Rice to Stem Borer (Scirpophaga incertulas Wlk.) Using ...
 
A novel high-precision curvature-compensated CMOS bandgap reference without u...
A novel high-precision curvature-compensated CMOS bandgap reference without u...A novel high-precision curvature-compensated CMOS bandgap reference without u...
A novel high-precision curvature-compensated CMOS bandgap reference without u...
 
Structural aspect on carbon dioxide capture in nanotubes
Structural aspect on carbon dioxide capture in nanotubesStructural aspect on carbon dioxide capture in nanotubes
Structural aspect on carbon dioxide capture in nanotubes
 
Thesummaryabout fuzzy control parameters selected based on brake driver inten...
Thesummaryabout fuzzy control parameters selected based on brake driver inten...Thesummaryabout fuzzy control parameters selected based on brake driver inten...
Thesummaryabout fuzzy control parameters selected based on brake driver inten...
 

Recently uploaded

Investor-Presentation-Q1FY2024 investor presentation document.pptx
Investor-Presentation-Q1FY2024 investor presentation document.pptxInvestor-Presentation-Q1FY2024 investor presentation document.pptx
Investor-Presentation-Q1FY2024 investor presentation document.pptx
AmarGB2
 
MCQ Soil mechanics questions (Soil shear strength).pdf
MCQ Soil mechanics questions (Soil shear strength).pdfMCQ Soil mechanics questions (Soil shear strength).pdf
MCQ Soil mechanics questions (Soil shear strength).pdf
Osamah Alsalih
 
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
 
English lab ppt no titlespecENG PPTt.pdf
English lab ppt no titlespecENG PPTt.pdfEnglish lab ppt no titlespecENG PPTt.pdf
English lab ppt no titlespecENG PPTt.pdf
BrazilAccount1
 
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
 
一比一原版(UofT毕业证)多伦多大学毕业证成绩单如何办理
一比一原版(UofT毕业证)多伦多大学毕业证成绩单如何办理一比一原版(UofT毕业证)多伦多大学毕业证成绩单如何办理
一比一原版(UofT毕业证)多伦多大学毕业证成绩单如何办理
ydteq
 
The role of big data in decision making.
The role of big data in decision making.The role of big data in decision making.
The role of big data in decision making.
ankuprajapati0525
 
在线办理(ANU毕业证书)澳洲国立大学毕业证录取通知书一模一样
在线办理(ANU毕业证书)澳洲国立大学毕业证录取通知书一模一样在线办理(ANU毕业证书)澳洲国立大学毕业证录取通知书一模一样
在线办理(ANU毕业证书)澳洲国立大学毕业证录取通知书一模一样
obonagu
 
Governing Equations for Fundamental Aerodynamics_Anderson2010.pdf
Governing Equations for Fundamental Aerodynamics_Anderson2010.pdfGoverning Equations for Fundamental Aerodynamics_Anderson2010.pdf
Governing Equations for Fundamental Aerodynamics_Anderson2010.pdf
WENKENLI1
 
ML for identifying fraud using open blockchain data.pptx
ML for identifying fraud using open blockchain data.pptxML for identifying fraud using open blockchain data.pptx
ML for identifying fraud using open blockchain data.pptx
Vijay Dialani, PhD
 
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
 
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
 
Hierarchical Digital Twin of a Naval Power System
Hierarchical Digital Twin of a Naval Power SystemHierarchical Digital Twin of a Naval Power System
Hierarchical Digital Twin of a Naval Power System
Kerry Sado
 
Industrial Training at Shahjalal Fertilizer Company Limited (SFCL)
Industrial Training at Shahjalal Fertilizer Company Limited (SFCL)Industrial Training at Shahjalal Fertilizer Company Limited (SFCL)
Industrial Training at Shahjalal Fertilizer Company Limited (SFCL)
MdTanvirMahtab2
 
Planning Of Procurement o different goods and services
Planning Of Procurement o different goods and servicesPlanning Of Procurement o different goods and services
Planning Of Procurement o different goods and services
JoytuBarua2
 
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
 
Water Industry Process Automation and Control Monthly - May 2024.pdf
Water Industry Process Automation and Control Monthly - May 2024.pdfWater Industry Process Automation and Control Monthly - May 2024.pdf
Water Industry Process Automation and Control Monthly - May 2024.pdf
Water Industry Process Automation & Control
 
Architectural Portfolio Sean Lockwood
Architectural Portfolio Sean LockwoodArchitectural Portfolio Sean Lockwood
Architectural Portfolio Sean Lockwood
seandesed
 
Standard Reomte Control Interface - Neometrix
Standard Reomte Control Interface - NeometrixStandard Reomte Control Interface - Neometrix
Standard Reomte Control Interface - Neometrix
Neometrix_Engineering_Pvt_Ltd
 
Runway Orientation Based on the Wind Rose Diagram.pptx
Runway Orientation Based on the Wind Rose Diagram.pptxRunway Orientation Based on the Wind Rose Diagram.pptx
Runway Orientation Based on the Wind Rose Diagram.pptx
SupreethSP4
 

Recently uploaded (20)

Investor-Presentation-Q1FY2024 investor presentation document.pptx
Investor-Presentation-Q1FY2024 investor presentation document.pptxInvestor-Presentation-Q1FY2024 investor presentation document.pptx
Investor-Presentation-Q1FY2024 investor presentation document.pptx
 
MCQ Soil mechanics questions (Soil shear strength).pdf
MCQ Soil mechanics questions (Soil shear strength).pdfMCQ Soil mechanics questions (Soil shear strength).pdf
MCQ Soil mechanics questions (Soil shear strength).pdf
 
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
 
English lab ppt no titlespecENG PPTt.pdf
English lab ppt no titlespecENG PPTt.pdfEnglish lab ppt no titlespecENG PPTt.pdf
English lab ppt no titlespecENG PPTt.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
 
一比一原版(UofT毕业证)多伦多大学毕业证成绩单如何办理
一比一原版(UofT毕业证)多伦多大学毕业证成绩单如何办理一比一原版(UofT毕业证)多伦多大学毕业证成绩单如何办理
一比一原版(UofT毕业证)多伦多大学毕业证成绩单如何办理
 
The role of big data in decision making.
The role of big data in decision making.The role of big data in decision making.
The role of big data in decision making.
 
在线办理(ANU毕业证书)澳洲国立大学毕业证录取通知书一模一样
在线办理(ANU毕业证书)澳洲国立大学毕业证录取通知书一模一样在线办理(ANU毕业证书)澳洲国立大学毕业证录取通知书一模一样
在线办理(ANU毕业证书)澳洲国立大学毕业证录取通知书一模一样
 
Governing Equations for Fundamental Aerodynamics_Anderson2010.pdf
Governing Equations for Fundamental Aerodynamics_Anderson2010.pdfGoverning Equations for Fundamental Aerodynamics_Anderson2010.pdf
Governing Equations for Fundamental Aerodynamics_Anderson2010.pdf
 
ML for identifying fraud using open blockchain data.pptx
ML for identifying fraud using open blockchain data.pptxML for identifying fraud using open blockchain data.pptx
ML for identifying fraud using open blockchain data.pptx
 
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
 
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
 
Hierarchical Digital Twin of a Naval Power System
Hierarchical Digital Twin of a Naval Power SystemHierarchical Digital Twin of a Naval Power System
Hierarchical Digital Twin of a Naval Power System
 
Industrial Training at Shahjalal Fertilizer Company Limited (SFCL)
Industrial Training at Shahjalal Fertilizer Company Limited (SFCL)Industrial Training at Shahjalal Fertilizer Company Limited (SFCL)
Industrial Training at Shahjalal Fertilizer Company Limited (SFCL)
 
Planning Of Procurement o different goods and services
Planning Of Procurement o different goods and servicesPlanning Of Procurement o different goods and services
Planning Of Procurement o different goods and services
 
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
 
Water Industry Process Automation and Control Monthly - May 2024.pdf
Water Industry Process Automation and Control Monthly - May 2024.pdfWater Industry Process Automation and Control Monthly - May 2024.pdf
Water Industry Process Automation and Control Monthly - May 2024.pdf
 
Architectural Portfolio Sean Lockwood
Architectural Portfolio Sean LockwoodArchitectural Portfolio Sean Lockwood
Architectural Portfolio Sean Lockwood
 
Standard Reomte Control Interface - Neometrix
Standard Reomte Control Interface - NeometrixStandard Reomte Control Interface - Neometrix
Standard Reomte Control Interface - Neometrix
 
Runway Orientation Based on the Wind Rose Diagram.pptx
Runway Orientation Based on the Wind Rose Diagram.pptxRunway Orientation Based on the Wind Rose Diagram.pptx
Runway Orientation Based on the Wind Rose Diagram.pptx
 

Reducer intermodulation noise filter for Transmission Systems Amplitude Modulation

  • 1. International Journal of Research in Engineering and Science (IJRES) ISSN (Online): 2320-9364, ISSN (Print): 2320-9356 www.ijres.org Volume 3 Issue 10 ǁ October. 2015 ǁ PP.45-51 www.ijres.org 45 | Page Reducer intermodulation noise filter for Transmission Systems Amplitude Modulation 1 C. AQUINO, 2 D. ZAMORANO, 3 C. AGUILAR 1 ESIME CULHUACAN, National Polytechnic Institute. 2 ESIME CULHUACAN, National Polytechnic Institute. 3 ESIME CULHUACAN, National Polytechnic Institute. Abstract: - The intention of this article is to show the effects that intermodulation noise produce in Amplitude Modulation Systems (AM Systems ) highlighting the importance of these systems for broadcasters.In addition it also shows a reducing intermodulation noise filter for AM transmission systems, This filter works in an ideal manner, for example, into the modulated signal that is contaminated by noise from effects of such modulation the filter output and the modulated signal should appear with the magnitude of the almost imperceptible noise. To verify that the output signal is the desired, measurements ODG (Objective Difference Grade) which is a measure of quality based on PEAQ (Perceptual Evaluation of Audio Quality) obtaining an average value of - 0.482appears a result indicating a relatively imperceptible noise. Keywords: Filter, Noise, intermodulation frequency. I. INTRODUCTION Currently the broadcasters that transmit through Amplitude Modulation technique have a problem that has persisted over the time, adding an intermodulation noise caused by the same technique and which in turn produces a perceptible auditory reception interference. Intermodulation noise is defined as energy generated by the sums and differences created by the amplification of two or more frequencies in a nonlinear amplifier [1]. The carrier frequencies of amplitude modulation (AM) are in the frequency range of 535 kHz to 1605 kHz leaving 5kHz as error margin at each end of the range, the carrier frequencies of 540 kHz to 1600 kHz are allocated to 10 kHz [1]. The information signals are to be transported between a transmitter and a receiver via some form of transmission. The modulation is defined as the process of transforming information from its original form to a form suitable for transmission. Demodulation is the inverse process, that is, the modulated wave is converted back to its original position [1]. The modulation is performed at the transmitter circuit called modulator and demodulation is performed in the receiver in a demodulator or detector circuit. Figure 1 shows a block diagram of a transmission –reception system. Fig.1 Block diagram of an ideal Transmission System. In figure 1 Intermodulation noise can be displayed upcoming from the transmission source. This noise is what we want to analyze for its deletion in this article. In section 2 the conceptual approaches relating to the subject of Amplitude Modulation are shown and in section 3 the development and design of the filter as a solution to the suppression of intermodulation noise.The results of the filtering process are shown in section 4. Section 5 refers to the conclusions and evaluation of the proposed objectives and finally in Section 6 it shows the consulting references. II. CONCEPTUAL APPROXIMATIONS OR APPROACHES This section describes the conceptual approaches related to the issue of amplitude modulation. Baseband: We talk about baseband signal when the emitted messages are designated.
  • 2. Reducer intermodulation noise filter for Transmission Systems Amplitude Modulation www.ijres.org 46 | Page Bandwidth: The bandwidth of a signal is the extension of the frequencies over which the signal has a superior power at certain limit. For amplitude modulation (AM) bandwidth is expressed in kHz. Signal spectrum: Designates the distribution of signal power in the frequency domain and is sometimes called Power Spectral Density (PSD). Then the equation defining the spectrum is shown like: 𝐷𝑆𝑃 = ℱ 𝑥 𝑡 2 Where: DSP = power spectral density (frequency spectrum) x (t) = the original signal in time domain Amplitude Modulation: The process of changing the amplitude of relatively high frequency carrier according to the amplitude of the modulating signal (information). Amplitude modulation is a form of modulation relatively inexpensive and a low transmission quality generally used in the radio broadcast audio and video signals [2]. Radio frequencies: frequencies high enough to efficiently radiate an antenna and propagated through free space, are commonly called RF. Intermodulation noise: It happens when signals of different frequencies involved in the modulation process share the same transmission via. It is regarded as unwanted cross-product frequencies (sum and difference) created when two or more signals are amplified in a nonlinear device. AM modulator is a nonlinear device that requires two input signals a carrier of constant amplitude and frequency and only the information signal. AM modulation process: modifies the information carrier and can be a waveform frequency of simple or complex composed of many frequencies which were originated from one or more sources. Signal to noise ratio (SNR): It is a mathematical ratio that measures the level of signal-to-noise level at a certain point, mathematically: 𝑆 𝑅 = 𝑆𝑖𝑔𝑛𝑎𝑙𝑉𝑜𝑙𝑡𝑎𝑔𝑒 𝑁𝑜𝑖𝑠𝑒𝑉𝑜𝑙𝑡𝑎𝑔𝑒 2 = 𝑣 𝑆 𝑣 𝑁 2 or 𝑆 𝑁 𝑑𝐵 = 20 log 𝑉𝑠 𝑉 𝑁 𝑠 𝑅 = 𝑆𝑖𝑔𝑛𝑎𝑙𝑃𝑜𝑤𝑒𝑟 𝑁𝑜𝑖𝑠𝑒𝑃𝑜𝑤𝑒𝑟 2 = 𝑃𝑠 𝑃 𝑁 or 𝑆 𝑁 𝑑𝐵 = 10 log 𝑃 𝑆 𝑃 𝑁 Modulation ratio: Term used to describe the amount of change of amplitude (modulation) present in a waveform of AM. It is expressed in percentage and provides the change in amplitude of the output waveform when it is acting on the carrier by a modulating signal, mathematically: 𝑚 = 𝐸 𝑚 𝐸𝑐 where: m = Modulation coefficient (dimensionless) Em = Change in peak voltage amplitude of the output waveform (volts) Ec = peak amplitude of the non-modulated carrier voltage (volts) In figure 2 the existing amplitude modulations and respective modulation index is: Fig. 2Amplitude Modulation. a) In the top 50% modulation of the carrier is displayed. b) In the middle of 100% modulation shown because the carrier will be zero (deleted). c) The overshoot can be observed at the bottom and corresponds to a 150% modulation index.
  • 3. Reducer intermodulation noise filter for Transmission Systems Amplitude Modulation www.ijres.org 47 | Page Then, where the proposed development of the electronic filter is displayed is shown. III. DEVELOPMENT The development of this work is divided into two main parts: assembly of the modulator circuit and reducing filter design. We begin by mounting the AM modulator circuit which is based on the following diagram: Fig. 3 AM modulator based on integrated circuit MC1496. Figure 3 shows the electronic diagram of a typical AM modulator. Note that two input signals are necessary; the first signal is a carrier frequency, the carrier frequency should be greater than the information signal we want to convey and that the carrier will be our means of transport, the second signal is needed since it is the modulator or modulating signal, this signal is the information to be transmitted and is usually the voice. The bandwidth for AM frequencies in Mexico is defined by the range of 535 to 1705kHz [2]. The filter circuit is designed as low active component, conveniently are necessary components not requiring external power and they also generate a power gain (essential parameter when transmitting). Table 1 showsthe normalization parameters of the filter and that will help calculate the components involved in the filter. Table 1. Standard values for calculating electrical parameters (capacitors and resistors)
  • 4. Reducer intermodulation noise filter for Transmission Systems Amplitude Modulation www.ijres.org 48 | Page The following chart will support the design of the filter because it will be the one to dictate what frequency must pass the filter and which should be rejected. Fig. 4 Graph of the frequency response, F1 and F2 are band pass filter cutoff frequency for example the frequency range to be considered for design . To prevent intermodulation noise, at the modulator output prevails a band pass filter designed and this will allow access to frequencies between the AM (535 to 1705kHz) spectrum. The band pass filter is composed of two parts: a high pass filter, which has the cutoff frequency one F1 will be our lower limit access, for example 535kHz and low pass filter with cutoff frequency F2 will be our upper limit access, i.e. 1705 kHz. Then the equations to calculate the elements and the electronic design of the filter are: 𝑛 = log 𝜀2 𝜀1 log 𝑓𝑝 𝑓𝑠 𝜀1 = 10 0.1∗𝐺 𝑝 − 1 𝜀2 = 10 0.1∗𝐺 𝑠 − 1 𝐶𝑛 = 1 2𝜋𝑓𝑝 𝑅 𝑤𝑕𝑒𝑟𝑒: 𝑛 = 𝑓𝑖𝑙𝑡𝑒𝑟𝑜𝑟𝑑𝑒𝑟 𝑓𝑠 = 𝑅𝑒𝑗𝑒𝑐𝑡𝑖𝑜𝑛𝑓𝑟𝑒𝑞𝑢𝑒𝑛𝑐𝑦 (𝑓𝑟𝑒𝑞𝑢𝑒𝑛𝑐𝑦𝑟𝑎𝑛𝑔𝑒) 𝑓𝑝 = 𝑃𝑎𝑠𝑠𝑓𝑟𝑒𝑞𝑢𝑒𝑛𝑐𝑦 (𝑐𝑢𝑡𝑜𝑓𝑓𝑓𝑟𝑒𝑞𝑢𝑒𝑛𝑐𝑦) 𝐺𝑝 = 𝐺𝑎𝑖𝑛𝑠𝑡𝑒𝑝 𝐺𝑠 = 𝑅𝑒𝑗𝑒𝑐𝑡𝑖𝑜𝑛𝑔𝑎𝑖𝑛 𝐶𝑛 = 𝑆𝑐𝑎𝑙𝑒𝑓𝑎𝑐𝑡𝑜𝑟 Electronic for designing filters are only two configurations [1]: second and third order because mixtures of these devices we would yield larger orders, for example; if it is a filter of order seven could connect two configurations of order two and a configuration of three series order so that together form the order seven. Fig. 5 active filters respectively second and third order Then filter design will be displayed, we begin to show the graph of the frequency response which will be designed the filter and go from there to make the necessary calculations.According to the theory of AM [4] modulation range of allowable frequencies it is from 535 kHz up to 1705 kHz so take that frequency range and
  • 5. Reducer intermodulation noise filter for Transmission Systems Amplitude Modulation www.ijres.org 49 | Page each end is the rejection frequency, ie that for over 1705 frequencies kHz step is prevented and frequencies below 535 kHz are also inadmissible Fig. 6 filter frequency response proposed A band pass [3] filter is designed by two filters, one high pass and one low pass connected in series. The high pass filter it will be as shown in the figure: Fig. 7 highpass filter (half of the total filter) The low pass filter will be as shown in the figure. FIG. 8 low pass filter (half band pass filter) The total band pass filter is the series connection of the low-pass and high-pass to the output of the AM modulator (since at this stage is where the intermodulation noise occurs) To verify that the filter was audibly and effectively functioning the following scheme was implemented based on PEAQ established by the International Telecommunications Union. This process is performed by calculating a correlation of the signal obtained from the expected signal. FIG. 9 Schemeproposed PEAQ Table 2. Comparative metrics of the original signal to the expected Perception Grade PEAQ Imperceptible 0 a -1 Slightly perceptible -1.1 a -2 Perceptible -2.1 a -3 Very perceptible -3.1 a -4
  • 6. Reducer intermodulation noise filter for Transmission Systems Amplitude Modulation www.ijres.org 50 | Page Below are the results of the modulation stages and the filtrate. IV. RESULTS The following figures show the results that appeared in the scope while implementing the amplitude modulator circuit (AM modulator) FIG. 9 Amplitude Modulation suppressed carrier (n = 1) FIG. 10 amplitude modulated high power (n = 0.5) FIG. 11 Amplitude Modulation with overshoot (n = 1.5)
  • 7. Reducer intermodulation noise filter for Transmission Systems Amplitude Modulation www.ijres.org 51 | Page FIG. 11 Response band pass filter V. CONCLUSIONS The band pass filters are formed by two filters: a high pass and a low pass connected in series, for example one after the other. In this project we do not consider the ripple factor as it is being considered onlyfor ideal answers of modulation and filtering, so that is why these calculations do not appear within the work The values of the electronic devices used are not exactly what we use in the actual implementation due to non- market values, so we decided to bring them closer to the values that are tradable and that may be for sale Intermodulation noise is a problem that has been afflicting mainly AM modulation schemes because of their vulnerability. BIBLIOGRAPHIC REFERENCES [1]. Couch W. Leon, "Digital Communication Systems and Analog”, 7ª Edition, Prentice Hall. [2]. Chen-hao Qi, et. al., “Hybrid Modulation for AM Broadcasting”, Third International Conference on Natural Computation, 2007 [3]. Ghoshal, S., et. al., “Modeling amplitude-modulated (AM) tone encoding behavior of cochlear nucleus neurons”, Seventeenth Annual Northeast Bioengineering Conference, 2005 [4]. Fahmi Bin, Hussin, Bin Yon, “Readability of Amplitude Modulation (AM) detector laboratory sheet, International RF and Microwave Conference, 2011 AUTHOR PROFILE: Carlos Aquino Ruiz was born in Mexico on April 2, 1973 is in Communications and Electronics Engineering from the National Polytechnic Institute IPN, a research professor and areas of development are applied computing, data networking and security. Dolores Zamorano Saavedra. She is a methodological research and has master's degree in Educational Sciences. Nowadays it is a research professor at the School of Mechanical and Electrical Engineering (ESIME) in Mexico. Her areas of development are assessment and project development, scientific writing and methodology of science Celedonio Enrique Aguilar Meza was born in Mexico on march 3, 1959 and holds a degree in communications and electronics from the National Polytechnic Institute IPN, is currently research professor and development areas are the processing and handling, coding and compression, safety and efficient transmission.