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Joint Source-Channel Coding with Inner Irregular Codes

Authors:

Ragnar Thobaben, Laurent Schmalen, and Peter Vary

Book Title:

Proceedings of IEEE International Symposium on Information Theory (ISIT)

Venue:

Toronto, Canada

Organization:

IEEE

Date:

July 2008

Pages:

1153–1157

ISBN:

978-1-42442-256-2

Language:

English

Abstract

We address the optimization of joint source-channel coding schemes for iterative source-channel decoding of first-order Markov sources. Compared to the traditional design, we propose two novelties: (1) source encoders, providing code words with a minimum Hamming distance d_{min} >= 2, realized by linear block codes, and (2) irregular channel encoders which are optimized for both the source characteristics and the conditions on the channel. Inner code rates $R_C > 1$ may be chosen in order to compensate for the additional source redundancy if required. Design examples for the AWGN channel and an overall code rate R = 0.66 show that the proposed system is able to establish reliable communication within 0.3 dB of the capacity limit for an interleaver length of approximatively 200000 bits.

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