MAP decoding of convolutional codes using reciprocal dual codes

被引：44
|
作者：
Riedel, S [1 ]
机构：
[1] Tech Univ Munich, Dept Commun Engn, D-80290 Munich, Germany
来源：
IEEE TRANSACTIONS ON INFORMATION THEORY | 1998年 / 44卷 / 03期
关键词：
convolutional codes; dual codes; iterative decoding; MAP decoding; turbo codes;
D O I：
10.1109/18.669270
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
A new symbol-by-symbol maximum a posteriori (MAP) decoding algorithm for high-rate convolutional codes using reciprocal dual convolutional codes is presented. The advantage of this approach is a reduction of the computational complexity since the number of codewords to consider is decreased for codes of rate greater than 1/2. The discussed algorithms fulfill all requirements for iterative ("turbo") decoding schemes, Simulation results are presented for high-rate parallel concatenated convolutional codes ("turbo" codes) using an AWGN channel or a perfectly interleaved Rayleigh fading channel, It is shown that iterative decoding of high-rate codes results in high-gain, moderate-complexity coding.
引用
收藏
页码：1176 / 1187
页数：12
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