基于迭代结构和MS估计的信源信道联合解码

Journal of Applied Sciences ›› 2005, Vol. 23 ›› Issue (5): 457-460.

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Joint Source-Channel Decoding Based on Iterative Structure and MS Estimation

ZHOU Lin, WU Zhen-yang

Department of Radio Engineering, Southeast University, Nanjing 210096, China

Received:2004-05-30 Revised:2004-08-27 Online:2005-09-30 Published:2005-09-30

Abstract

Abstract: Using the non-uniform distribution and time domain correlation of source-encoded parameter and the soft-value provided by SISO channel decoder, a recursive joint source-channel decoding algorithm is proposed. The algorithm is composed of soft-bit source decoding based on MS estimation and Viterbi decoder based on iterative structure.Compared with separate source channel decoding, the joint algorithm has a gain in the parameter SNR of about 10 dB for colored Gaussian source and AWGN channel.

Key words: recursive structure, MS estimation, joint source-channel decoding, soft-bit source decoding, iterative structure

CLC Number:

TN911.2

ZHOU Lin, WU Zhen-yang. Joint Source-Channel Decoding Based on Iterative Structure and MS Estimation[J]. Journal of Applied Sciences, 2005, 23(5): 457-460.

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Joint Source-Channel Decoding Based on Iterative Structure and MS Estimation

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