Superposition convolutional coded modulation for the Rayleigh fading channel

被引：0

作者：

Chen, Xu ^{[1
]}

Wang, Xiuni ^{[1
]}

Ma, Xiao ^{[1
]}

机构：

[1] Sun Yat Sen Univ, Dept Elect & Commun Engn, Guangzhou 510275, Guangdong, Peoples R China

来源：

2007 INTERNATIONAL CONFERENCE ON COMMUNICATIONS, CIRCUITS AND SYSTEMS PROCEEDINGS, VOLS 1 AND 2: VOL 1: COMMUNICATION THEORY AND SYSTEMS; VOL 2: SIGNAL PROCESSING, COMPUTATIONAL INTELLIGENCE, CIRCUITS AND SYSTEMS | 2007年

基金：

中国国家自然科学基金; 国家高技术研究发展计划(863计划);

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper, we investigate the performance of superposition convolutional coded modulation (SCCM) for the Rayleigh fading channel. Three different practical decoding algorithms, including multi-stage Viterbi algorithm, iterative Viterbi algorithm and iterative BCJR algorithm, are (re)-derived. These algorithms vary in complexity as well as in performance, as desired for practical systems. Simulation results show that SCCM outperforms bit-interleaved convolutional coded modulation with comparable complexity in the low signal-to-noise-ratio (SNR) region.

引用

页码：37 / +

页数：2

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