Woven convolutional codes and a new iterative decoding algorithm

被引：0

作者：

Du, P ^{[1
]}

Li, Q ^{[1
]}

Bi, GG ^{[1
]}

机构：

[1] Southeast Univ, Dept Radio Engn, Natl Mobile Commun Res Lab, Nanjing 210096, Peoples R China

来源：

PIMRC 2003: 14TH IEEE 2003 INTERNATIONAL SYMPOSIUM ON PERSONAL, INDOOR AND MOBILE RADIO COMMUNICATIONS PROCEEDINGS, VOLS 1-3 2003 | 2003年

关键词：

channel encoding; woven convolutional codes; iterative decoding; soft-input soft-output;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Based on the Soft-Input Soft-Output (SISO) algorithm that is used to iteratively decode serially concatenated codes, we present a new modular iterative decoding algorithm for woven convolutional codes. The proposed algorithm takes the log-likelihood ratio of a priori probability as inputs and produces log-likelihood ratio of post a priori probability as outputs. The justification and the performance are demonstrated by numerical simulation.

引用

页码：1873 / 1875

页数：3

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