Iterative Decoding Threshold Analysis for LDPC Convolutional Codes

被引：267

作者：

Lentmaier, Michael ^{[1
]}

Sridharan, Arvind ^{[1
]}

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

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

机构：

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

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

[3] Lund Univ, Lund, Sweden

来源：

IEEE TRANSACTIONS ON INFORMATION THEORY | 2010年 / 56卷 / 10期

基金：

美国国家科学基金会;

关键词：

Belief propagation; density evolution; iterative decoding; low-density parity-check (LDPC) codes; LDPC convolutional codes; message passing; threshold analysis; PARITY-CHECK CODES; CAPACITY; DENSITY; BLOCK; PERFORMANCE; DESIGN; BOUNDS;

D O I：

10.1109/TIT.2010.2059490

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

An iterative decoding threshold analysis for terminated regular LDPC convolutional (LDPCC) codes is presented. Using density evolution techniques, the convergence behavior of an iterative belief propagation decoder is analyzed for the binary erasure channel and the AWGN channel with binary inputs. It is shown that for a terminated LDPCC code ensemble, the thresholds are better than for corresponding regular and irregular LDPC block codes.

引用

页码：5274 / 5289

页数：16

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