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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Veröffentlicht in:	IEEE transactions on communications Jg. 61; H. 8; S. 3472 - 3482
Hauptverfasser:	Shahid, I., Yahampath, P.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York, NY IEEE 01.08.2013 Institute of Electrical and Electronics Engineers The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	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
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Zusammenfassung:	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.
Bibliographie:	ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 ObjectType-Article-2 ObjectType-Feature-1 content type line 23
ISSN:	0090-6778 1558-0857
DOI:	10.1109/TCOMM.2013.070213.120264