This document discusses synchronization techniques for digital communication receivers. It covers carrier recovery, symbol timing recovery, and frame synchronization. Carrier recovery involves coarse and fine frequency adjustment as well as phase recovery. Symbol timing recovery involves synchronizing the sampling clock to the symbol frequency and phase. Effects of carrier and symbol synchronization errors are described. Finally, references are provided for further reading on digital receiver synchronization methods.
Orthogonal Frequency Division Multiplexing, OFDM uses a large number of narrow sub-carriers for multi-carrier transmission to overcome the effect of multi path fading problem. LTE uses OFDM for the downlink, from base station to terminal to transmit the data over many narrow band careers of 180 KHz each instead of spreading one signal over the complete 5MHz career bandwidth. OFDM meets the LTE requirement for spectrum flexibility and enables cost-efficient solutions for very wide carriers with high peak rates.
The primary advantage of OFDM over single-carrier schemes is its ability to cope with severe channel conditions. Channel equalization is simplified. The low symbol rate makes the use of a guard interval between symbols affordable, making it possible to eliminate inter symbol interference (ISI).
Orthogonal Frequency Division Multiplexing, OFDM uses a large number of narrow sub-carriers for multi-carrier transmission to overcome the effect of multi path fading problem. LTE uses OFDM for the downlink, from base station to terminal to transmit the data over many narrow band careers of 180 KHz each instead of spreading one signal over the complete 5MHz career bandwidth. OFDM meets the LTE requirement for spectrum flexibility and enables cost-efficient solutions for very wide carriers with high peak rates.
The primary advantage of OFDM over single-carrier schemes is its ability to cope with severe channel conditions. Channel equalization is simplified. The low symbol rate makes the use of a guard interval between symbols affordable, making it possible to eliminate inter symbol interference (ISI).
Digital Implementation of Costas Loop with Carrier RecoveryIJERD Editor
Demodulator circuit is a basic building block of wireless communication. Digital implementation of
demodulator is attracting more attention for the significant advantages of digital systems than analog systems.
The carrier signal extraction is the main problem in synchronous demodulation in design of demodulator based
on Software Defined Radio. When transmitter or receiver in motion, it is difficult for demodulator to generate
carrier signal same in frequency and phase as transmitter carrier signal due to Doppler shift and Doppler rate.
Here the digital implementation of Costas loop for QPSK demodulation in continuous mode is discussed with
carrier recovery using phase locked loop.
link of a reference: http://www.slideshare.net/zena_mohammed/advanced-digital-signal-processing-book. digital_signal_processing__a_practical_approach. this reference for asked me for pictures in presentation of Multirate Digital Signal Processing.
There are many types of wireless channel impairments such as noise, path loss, shadowing, and fading and impairment Mitigation techniques should be adopted according to system requirements and channel environments.
This presentation covers:
Some basic definitions & concepts of digital communication
What is Phase Shift Keying(PSK) ?
Binary Phase Shift Keying – BPSK
BPSK transmitter & receiver
Advantages & Disadvantages of BPSK
Pi/4 – QPSK
Pi/4 – QPSK transmitter & receiver
Advantages of Pi/4- QPSK
Digital Implementation of Costas Loop with Carrier RecoveryIJERD Editor
Demodulator circuit is a basic building block of wireless communication. Digital implementation of
demodulator is attracting more attention for the significant advantages of digital systems than analog systems.
The carrier signal extraction is the main problem in synchronous demodulation in design of demodulator based
on Software Defined Radio. When transmitter or receiver in motion, it is difficult for demodulator to generate
carrier signal same in frequency and phase as transmitter carrier signal due to Doppler shift and Doppler rate.
Here the digital implementation of Costas loop for QPSK demodulation in continuous mode is discussed with
carrier recovery using phase locked loop.
link of a reference: http://www.slideshare.net/zena_mohammed/advanced-digital-signal-processing-book. digital_signal_processing__a_practical_approach. this reference for asked me for pictures in presentation of Multirate Digital Signal Processing.
There are many types of wireless channel impairments such as noise, path loss, shadowing, and fading and impairment Mitigation techniques should be adopted according to system requirements and channel environments.
This presentation covers:
Some basic definitions & concepts of digital communication
What is Phase Shift Keying(PSK) ?
Binary Phase Shift Keying – BPSK
BPSK transmitter & receiver
Advantages & Disadvantages of BPSK
Pi/4 – QPSK
Pi/4 – QPSK transmitter & receiver
Advantages of Pi/4- QPSK
Includes a briefing on medium and high speed modems.Information about training sequence,scrambler and descrambler circuits.Also includes an introduction to modem control.
Class-20 These slides explain about the basic approach and requirements of re synchronization of micro-grid to utility grid. Other names very often used in place of re-synchronization are re-connection or transition. Later , I will explain about the implementation of one approach through simulation in MATLAB/SIMULINK software
This report discusses the planning Associate in
nursing the implementation of an OFDM system
in several information module schemes like MQPSK,
M-QAM. First, a short introduction is
provided by explaining the background and the
specification of the project. Then the report deals
with the system model, every block of the OFDM
system is represented (IFFT, FFT, Cyclic prefix,
modulation / reception, Channel estimation, bit
error rate). System design is analyzed. The
transmission techniques, further because the
system parameters for transmission and reception
are explained well. Finally, the results are
provided.
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All digital wide range msar controlled duty cycle correctoracijjournal
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production clocks. The MSAR-DCC circuit has been implemented in a 0.18- μm CMOS process which
corrects the duty rate within 5 cycles which has a closed loop characteristics. The measured power
dissipation and area occupation are 5581nW and 0.033mm2 respectively.
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Abstract (11Bold) : — In this report, the performance analysis of 64 QAM-OFDM wireless communication
systems affected by AWGN in terms of Symbol Error Rate and Throughput is addressed. 64 QAM (64 ary
Quadrature Amplitude Modulation) is the one of the effective digital modulation technique as it is more power
efficient for larger values of M(64). The MATLAB script based model of the 64 QAM-OFDM system with
normal AWGN channel and Rayleigh fading channel has been made for study error performance and
throughput under different channel conditions. This simulated model maximizes the system throughput in the
presence of narrowband interference, while guaranteeing a SER below a predefined threshold. The SER
calculation is accomplished by means of modelling the decision variable at the receiver as a particular case of
quadratic form D in complex Gaussian random variables. Lastly comparative study of SER performance of 64
QAM-OFDM simulated & 64 QAM-OFDM theoretical under AWGN channel has been given. Also
performance of the system is given in terms of throughput (received bits/ofm symbol) is given in a plot for
different SNR. Keywords (11Bold) –64 QAM, BPSK, OFDM, PDF, SNR.
Designing and Performance Evaluation of 64 QAM OFDM SystemIOSR Journals
In this report, the performance analysis of 64 QAM-OFDM wireless communication
systems affected by AWGN in terms of Symbol Error Rate and Throughput is addressed. 64 QAM (64 ary
Quadrature Amplitude Modulation) is the one of the effective digital modulation technique as it is more power
efficient for larger values of M(64). The MATLAB script based model of the 64 QAM-OFDM system with
normal AWGN channel and Rayleigh fading channel has been made for study error performance and
throughput under different channel conditions. This simulated model maximizes the system throughput in the
presence of narrowband interference, while guaranteeing a SER below a predefined threshold. The SER
calculation is accomplished by means of modelling the decision variable at the receiver as a particular case of
quadratic form D in complex Gaussian random variables. Lastly comparative study of SER performance of 64
QAM-OFDM simulated & 64 QAM-OFDM theoretical under AWGN channel has been given. Also
performance of the system is given in terms of throughput (received bits/ofm symbol) is given in a plot for
different SNR
Development of Digital Controller for DC-DC Buck ConverterIJPEDS-IAES
This paper presents a design & implementation of 3P3Z (3-pole 3-zero)
digital controller based on DSC (Digital Signal Controller) for low voltage
synchronous Buck Converter. The proposed control involves one voltage
control loop. Analog Type-3 controller is designed for Buck Converter using
standard frequency response techniques.Type-3 analog controller transforms
to 3P3Z controller in discrete domain.Matlab/Simulink model of the Buck
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Keyword: state response and load transient response is tested using the model.
Cosmetic shop management system project report.pdfKamal Acharya
Buying new cosmetic products is difficult. It can even be scary for those who have sensitive skin and are prone to skin trouble. The information needed to alleviate this problem is on the back of each product, but it's thought to interpret those ingredient lists unless you have a background in chemistry.
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The automated cosmetic shop management system should deal with the automation of general workflow and administration process of the shop. The main processes of the system focus on customer's request where the system is able to search the most appropriate products and deliver it to the customers. It should help the employees to quickly identify the list of cosmetic product that have reached the minimum quantity and also keep a track of expired date for each cosmetic product. It should help the employees to find the rack number in which the product is placed.It is also Faster and more efficient way.
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2. INTRODUCTION
In a digital transmission system, the transmission chain includes several oscillators for
• modulation and demodulation
• up- and down-conversion
• clocking symbol and bit-streams
• sampling
The synchronisation functions of the receiver have to be locked to the received signal. It is not possible to recover
correct frequencies/phases without any control mechanisms. The receiver has to ‘dig out’ the synchronisation
information from the received signal
• Synchronisation has to be done at least in the following levels:
• Carrier recovery
• Symbol timing recovery
• Frame synchronisation
3. CARRIER RECOVERY
Reasons for carrier phase/frequency errors:
Transmitter local oscillators used for up-conversion and modulation
Receiver local oscillators used for down-conversion and demodulation
Up/down-conversion in repeaters
Doppler shift in mobile channels and non-geostationary satellite systems
In the traditional approach, the receiver local oscillator(s) are adjusted adaptively to match the
frequency and phase with the received signal.
In differentially coherent (e.g., DPSK) or non-coherent (e.g., FSK) systems, sufficiently accurate
frequency adjustment is enough
Accurate phase recovery is needed in coherent detection
For complex alphabets, accurate phases for the quadrature carriers are needed (90 degree phase
shift for I & Q branches)
Carrier recovery is often done in two parts:
1. Coarse frequency adjustment
2. Fine frequency adjustment and phase recovery
4. EFFECTS OF CARRIER SYNCHRONISATION ERRORS
Constant carrier phase error corresponds to a rotation of the
constellation
Ak e jAk
Constant carrier frequency error corresponds to time-varying rotation
of the constellation
Ak e jkTAk
If the parameters can be estimated with sufficient accuracy, these effects can
easily be compensated by a complex multiplier in baseband processing, prior
to detection.
5. SYMBOL TIMING RECOVERY
In the traditional approach, the sampling clock is synchronised to the symbol
frequency and phase of the received signal.
The effects of symbol timing errors can be seen with the aid of the eye
pattern:
the samples are not taken at the maximum eye opening
ISI is introduced
noise margin is reduced
6. Analog timing recovery:
ANALOG
PROCESSOR
DIGITAL
PROCESSOR
SIGNAL IN
SAMPLER
DATA OUT
SAMPLING
CLOCK
TIMING CONTROL
Hybrid timing recovery:
ANALOG
PROCESSOR
DIGITAL
PROCESSOR
SIGNAL IN
SAMPLER
DATA OUT
SAMPLING
CLOCK
TIMING CONTROL
Digital timing recovery:
ANALOG
PROCESSOR
DIGITAL
PROCESSOR
SIGNAL IN
SAMPLER
DATA OUT
SAMPLING
CLOCK
TIMING CONTROL
SYNCHRONISER CLASSES
7. ANALOG AND DIGITAL SOLUTIONS
Traditionally, analog or hybrid analog/digital solutions have been used for carrier and timing
recovery.
Adjusting directly the demodulator local oscillator or sampling clock
Phase-locked loops (PLLs) and related circuits have been used as key elements.
There is interest in digital solutions:
Possibly better in terms of
size or power consumption or economy
Better solutions can be found in terms of jitter performance and/or tracking speed
- Convergence speed is very important in mobile systems
- Long feedback loops can be avoided (e.g., in hybrid solutions, loops from the digital part back
to the analog part are needed)
=> speed
8. SAMPLING RATE OPTIONS
Theoretically in an optimal receiver for a linear transmission system, symbol-rate sampling can be used if and
only if
matched filter is included in the receiver prior to sampling or sampling rate conversion to symbol rate
sampling or sampling rate conversion to symbol rate is done at the correct phase
Otherwise there will be destructive aliasing effects.
Then it is clear that A/D conversion can be done at the symbol rate only in the analog or hybrid symbol timing
recovery schemes. (For the carrier recovery scheme, there are no such hard constraints.)
All-digital symbol timing recovery scheme requires higher-than- symbol-rate sampling.
A natural choice is to sample at twice the symbol rate (since the excess bandwidth is normally less than
100%).
9. SYNCHRONISATION PRINCIPLES
Data-aided (DA)
Based on reference symbol sequences known to the receiver (training signals,
preambles/midambles, pilot frequencies, etc.).
Decision-directed (DD)
Utilises detected symbol values as reference.
Non-data-aided (NDA)
Does not depend on known or detected symbol values.
It is clear that DA techniques result in the best synchronisation performance, but some part of
bandwidth or data transmission capacity is lost for the pilot signals or training sequences.
Decision-directed methods are sensitive to detection errors (but not very sensitive).
10. SYNCHRONISER OPERATION MODES
Acquisition mode
Start-up phase, during which the system achieves stable
operation.
Tracking mode
Normal operation mode, during which the system adapts to
slow variations of the synchronisation parameters.
Different synchronisation principles can be used during the two
phases.
11. Illustrating the Effect of Timing Jitter on Symbol Error
Rate:
ERROR
PROBABILITY
Pe|
Examples of the Effects of Symbol Timing Errors on Symbol
Error Rates, 2-level and 4-level PAM:
TIMING OFFSET
0 0.05 0.1 0.15
Timing error (as a fraction of T)
0.2 0.25
10−7
10−6
10−5
10−4
10−3
10−2
10−1
Symbol
Error
Probability
64−QAM
16−QAM
12. Feedback and feed-forward configurations
Symbol timing recovery can be done either in
feedback configuration
SAMPLER TO DETECTOR
LOOP
FILTER
VCO
TIMING ERROR
DETECTOR
or in feedforward configuration
SAMPLER
VCO
TIMING
ESTIMATION
TO DETECTO
The same is true also for carrier phase recovery.
Coarse carrier frequency recovery is usually based on
feedback configuration.
13. Examples of Receiver Structures
Coherent receiver:
MATCHED
FILTER
TIMING
RECOVERY
DETECTOR
r(t) r´(t) x(t) x(k)
SAMPLE AT
kT
ck
vt
e
j2
FREQ.
RECOVERY
ej
PHASE
RECOVERY
A more practical, modern receiver structure would have sampling at 2x symbol rate after the coarse
frequency recovery and implement the phase and timing recovery in the DSP domain.
Differential receiver:
MATCHED
FILTER
TIMING
RECOVERY
r(t) x(t) x(k)
SAMPLE AT
kT
vt
e
j2
FREQ.
RECOVERY
z1
TO
DETECTOR
14. ORDER OF THE BLOCKS IN ALL-DIGITAL
SOLUTIONS
The order of the symbol timing and carrier
recovery blocks can be selected rather freely.
Normally the coarse frequency synchronization is
done first. Frequency errors which are
considerable in comparison to the signal
bandwidth woud destroy the band-selection and
matched filtering.
Phase rotation and sampling/symbol timing
interpolation blocks can be interchanged.
Different timing estimation / timing error
detection and phase estimation / phase
error detection methods may be needed
depending on the order of the blocks.
15. SOME AD-HOC TIMING RECOVERY
ALGORITHMS
A set of algorithms utilizes a timing tone, a symbol-rate spectral
component, which is obtained, e.g., by squaring the baseband data signal.
The timing tone can be extracted by
a narrowband lowpass filter
phase-locked loop
computing DFT at the symbol frequency (i.e., a single
point of the DFT output is needed for each data block)
The timing jitter of these algorithms (and many others)
can be improved by a special prefilter, which produces a
symmetric, bandlimited spectrum at half of the symbol
rate. In fact, in some cases it is possible to achieve jitter-
free timing recovery.
16. MUELLER & MÜLLER ALGORITHM
The original paper describes a family of hybrid algorithms working at
symbol-rate samples. The most common (and most simple one) is the
following.
This is a decision-directed (or data-aided) algorithm.
It can be shown to be free of timing jitter in ideal conditions (after
convergence to zero timing error, no ISI).
This algorithm was developed originally for 2-PSK and QPSK, but has
been shown to work also in the case of high-order QAM-
constellations.
18. A large data vector is regenerated for a given EbN0 value by the generateOFDMSignal function. This data is then
passed through the applyOFDMChannel function which introduces several common channel impairments. Finally
the data is passed to the receiver for recovery. The receiveOFDMSignal function operates by processing data on
a frame-by-frame basis. This processing mechanism is self-contained for performance benefits when using code
generation and for code simplicity. This script by default generates code for the transmitter and receiver
functions; this is accomplished by using the codegen command provided by the MATLAB Coder product.
The codegen command translates MATLAB functions to a C++ static or dynamic library, executable, or to a MEX
file, producing a code for accelerated execution. The generated C code runs several times faster than the original
MATLAB code.
During operation, the receiver will display a series of plots illustrating certain synchronization results and effects
on the signal.
19. Summary
This example utilizes several MATLAB System objects to simulate digital
communication with OFDM over an AWGN channel. It shows how to model several
parts of the OFDM system such as modulation, frequency estimation, timing
recovery, and equalization. The simulation also displays information about the
operation of the synchronization algorithms through a series of plots. This example
also utilizes code generation, allowing the simulation to run several times faster than
the original MATLAB code.
20. REFERENCES
1H. Meyr, M. Moeneclaey, S.A. Fechtel, Digital Communications Receivers - Synchro- nization, Channel Estimation, and Signal Processing. Wiley
1998.
2U. Mengali, A.N. D'Adrea, Synchronization Techniques for Digital Receivers. Plenum Press 1997.
3L.P. Sabel, W.G. Cowley, "Block processing feedforward symbol timing estimator for digital modems," Electronic Letters, vol. 30, no. 16, pp. 1273-
1274, Aug. 1994.
4R. Hamila, J. Vesma, and M. Renfors, ”Polynomial-Based Maximum Likelihood Tech- nique for Synchronization in Digital Receivers,” IEEE Trans.
Circuits Syst. II, vol. 49, pp. 567-576, Aug. 2002.
5L. Anttila, Baseband Signal Processing for a Narrowband Radio Modem. M.Sc. The- sis, TUT, Dept. of Electrical Engineering, Jan. 2004.
6F. M. Gardner, Frequency Detectors for Digital Demodulators via Maximum Likeli- hood Derivation, Final Report: Part II: ESTEC Contract No.
8022/88/NL/DG, Gardner Research Company, 1990.
7P. Z. Fan, M. Darnell, Sequence Design for Communications Applications, Research Studies Press, John Wiley & Sons Ltd, London, 1996.
8S. Kay, A Fast and Accurate Single Frequency Estimator, IEEE Transactions on Acoustics, Speech, and Signal Processing, Vol. 37, No. 12, pp.
1987-1990, December 1989.
9M. P. Fitz, Planar Filtered Techniques for Burst Mode Carrier Synchronization, paper 12.1.1, GLOBECOM ’91, Phoenix, Arizona, December 1991.
10U. Mengali, M. Morelli, Data-Aided Frequency Estimation for Burst Digital Trans- mission, IEEE Transactions on Communications, Vol. 45, No.
1, pp. 23-25, January 1997.