Distributed Joint Source-Channel Coding Using Unequal Error Protection LDPC Codes

This paper presents a general approach to designing distributed joint source channel (DJSC) codes with arbitrary rates for communication of a pair of correlated binary sources over noisy channels. In this approach, both distributed compression and channel error correction are simultaneously achieved...

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Bibliographic Details
Published in:IEEE transactions on communications Vol. 61; no. 8; pp. 3472 - 3482
Main Authors: Shahid, I., Yahampath, P.
Format: Journal Article
Language:English
Published: New York, NY IEEE 01.08.2013
Institute of Electrical and Electronics Engineers
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:
Applied sciences
Asymptotic properties
belief-propagation
Channel capacity
Channel coding
Channels
Codes
Coding
Coding, codes
Compressing
Correlation
Decoding
Detection, estimation, filtering, equalization, prediction
Distributed source coding
Errors
Exact sciences and technology
EXIT-chart analysis
Gaussian
Information, signal and communications theory
joint source-channel coding
Joints
LDPC codes
Optimization
Parity check codes
Signal and communications theory
Signal, noise
Studies
Systematics
Systems, networks and services of telecommunications
Telecommunications
Telecommunications and information theory
Transmission and modulation (techniques and equipments)
unequal error protection
Performance evaluation
Source separation
unequal error protection
Signal estimation
Irregular code
Joint source channel coding
Optimization
Credal approach
Parity check codes
joint source-channel coding
Binary channel
Channel capacity
Source coding
Gaussian channel
Binary signal
Distributed source signal
Linear programming
Channel coding
LDPC codes
Distributed source coding
EXIT-chart analysis
belief-propagation
Noisy channel
Signal processing
Error correcting code
Error correction
ISSN:0090-6778, 1558-0857
Online Access:Get full text
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Description
Summary:This paper presents a general approach to designing distributed joint source channel (DJSC) codes with arbitrary rates for communication of a pair of correlated binary sources over noisy channels. In this approach, both distributed compression and channel error correction are simultaneously achieved by transmitting, for each source, a fraction of the information bits together with the parity bits of a systematic channel code. This approach is shown to be asymptotically optimal, i.e., any rate-pair in the achievable rate-region can be approached as the codeword length is increased. The practical realization of such a code requi res the design of a pair of channel codes with unequal error protection (UEP) properties determined by the inter-source correlation and the channel capacity available to each source. Towards this end, a linear programming based procedure for jointly optimizing the degree profiles of a pair of irregular LDPC codes to achieve the required UEP properties is presented. Experimental results obtained with both binary symmetric channels and binary-input Gaussian channels are presented, which demonstrate that the proposed UEP-DJSC codes can significantly outperform separate source-channel codes, as well as previously reported joint source-channel coding schemes, particularly for short codeword lengths.
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ISSN:0090-6778
1558-0857
DOI:10.1109/TCOMM.2013.070213.120264