Soft-decision COVQ for turbo-coded AWGN and Rayleigh fading channels

被引：6
|
作者：
Zhu, GC [1 ]
Alajaji, FI
机构：
[1] Queens Univ, Dept Math & Stat, Kingston, ON K7L 3N6, Canada
[2] Queens Univ, Dept Elect & Comp Engn, Kingston, ON K7L 3N6, Canada
来源：
IEEE COMMUNICATIONS LETTERS | 2001年 / 5卷 / 06期
基金：
加拿大自然科学与工程研究理事会;
关键词：
AWGN channels; channel-optimized vector quantization; joint source-channel coding; Rayleigh fading channels; soft-decision demodulator; turbo codes;
D O I：
10.1109/4234.929605
中图分类号：
TN [电子技术、通信技术];
学科分类号：
0809 ;
摘要：
A robust soft-decision channel-optimized vector quantization (COVQ) scheme for Turbo-coded additive white Gaussian noise (AWGN) and Rayleigh fading channels is proposed. The log likelihood ratio (LLR) generated by the Turbo decoder is exploited via the use of a q-bit scaler soft-decision demodulator, The concatenation of the Turbo encoder, modulator, AWGN channel or Rayleigh fading channel, Turbo decoder, and q-bit soft-decision demodulator is modeled as an expanded discrete memoryless channel (DMC), A COVQ scheme for this expanded discrete channel is designed. Numerical results indicate substantial performance improvements over traditional tandem coding systems, COVQ schemes designed for hard-decision demodulated Turbo-coded channels(q = 1), as well as performance gains over a recent soft decoding COVQ scheme by Ho.
引用
收藏
页码：257 / 259
页数：3
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