Distributed Joint Source-Channel Coding for Correlated Sources Using Non-systematic Repeat-Accumulate Based Codes

Authors:
Valtteri Tervo;Tad Matsumoto;Pen-Shun Lu
Affiliations:
Centre for Wireless Communications, University of Oulu, Oulu, Finland 90014 and Japan Advanced Institute of Science and Technology, Nomi, Japan 923-1292;Centre for Wireless Communications, University of Oulu, Oulu, Finland 90014 and Japan Advanced Institute of Science and Technology, Nomi, Japan 923-1292;Centre for Wireless Communications, University of Oulu, Oulu, Finland 90014 and Japan Advanced Institute of Science and Technology, Nomi, Japan 923-1292
Venue:
Wireless Personal Communications: An International Journal
Year:
2013

Citing 8
Cited 1

RA Codes Achieve AWGN Channel Capacity

AAECC-13 Proceedings of the 13th International Symposium on Applied Algebra, Algebraic Algorithms and Error-Correcting Codes
Universal source controlled channel decoding with nonsystematic quick-look-in turbo codes

IEEE Transactions on Communications
Design of repeat-accumulate codes for iterative detection and decoding

IEEE Transactions on Signal Processing
Noiseless coding of correlated information sources

IEEE Transactions on Information Theory
Recent results in the Shannon theory

IEEE Transactions on Information Theory
Geometric programming duals of channel capacity and rate distortion

IEEE Transactions on Information Theory
Convergence Analysis and Optimal Scheduling for Multiple Concatenated Codes

IEEE Transactions on Information Theory
Correlated sources over wireless channels: cooperative source-channel coding

IEEE Journal on Selected Areas in Communications

Hierarchical Distributed Source Coding Scheme and Optimal Transmission Scheduling for Wireless Sensor Networks

Wireless Personal Communications: An International Journal

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this paper, we propose a technique for coding the data from multiple correlated binary sources, with the aim of providing an alternative solution to the correlated source compression problem. Using non-systematic repeat-accumulate based codes, it is possible to achieve compression which is close to the Slepian---Wolf bound without relying on massive puncturing. With the technique proposed in this paper, instead of puncturing, compression is achieved by increasing check node degrees. Hence, the code rate can be more flexibly adjusted with the proposed technique in comparison with the puncturing-based schemes. Furthermore, the technique is applied to distributed joint source-channel coding (DJSCC). It is shown that in many cases tested, the proposed scheme can achieve mutual information very close to one with the lower signal-to-noise power ratio than turbo and low density generator matrix based DJSCC in additive white Gaussian noise channel. The convergence property of the system is also evaluated via the extrinsic information transfer analysis.