Braided Convolutional Codes: A New Class of Turbo-Like Codes

被引：37

作者：

Zhang, Wei ^{[1
]}

Lentmaier, Michael ^{[1
]}

Zigangirov, Kamil Sh. ^{[2
,3
]}

Costello, Daniel J., Jr. ^{[1
]}

机构：

[1] Univ Notre Dame, Dept Elect Engn, Notre Dame, IN 46556 USA

[2] Lund Univ, Lund, Sweden

[3] Russian Acad Sci, Inst Problems Informat Transmiss, Moscow, Russia

来源：

IEEE TRANSACTIONS ON INFORMATION THEORY | 2010年 / 56卷 / 01期

基金：

美国国家科学基金会;

关键词：

Braided convolutional codes; codes on graphs; convolutional permutor; free distance; iterative decoding; turbo-like codes; IMPLEMENTATION;

D O I：

10.1109/TIT.2009.2034784

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

We present a new class of iteratively decodable turbo-like codes, called braided convolutional codes. Constructions and encoding procedures for tightly and sparsely braided convolutional codes are introduced. Sparsely braided codes exhibit good convergence behavior with iterative decoding, and a statistical analysis using Markov permutors shows that the free distance of these codes grows linearly with constraint length, i.e., they are asymptotically good.

引用

页码：316 / 331

页数：16

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