An Improved Normalized Min-Sum Algorithm for LDPC Codes

被引：0
|
作者：
Chen, Jinlei [1 ]
Zhang, Yan [1 ]
Sun, Ruiyi [1 ]
机构：
[1] Harbin Inst Technol, Shenzhen Grad Sch, Key Lab Network Oriented Intelligent Computat, Shenzhen 518055, Peoples R China
来源：
2013 IEEE/ACIS 12TH INTERNATIONAL CONFERENCE ON COMPUTER AND INFORMATION SCIENCE (ICIS) | 2013年
关键词：
LDPC codes; LDPC decoding; normalized min-sum algorithm; PARITY-CHECK CODES; BELIEF PROPAGATION;
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：
An improved normalized min-sum (IN-MS) algorithm is proposed for decoding low-density parity-check (LDPC) codes. In this algorithm, two normalized factors are used in check node computing, one for the minimum data and another for the second minimum data, and this algorithm achieves a better approximation to the BP algorithm. Simulation results show that the decoding performance of INMS algorithm is better than that of the normalized min-sum (NMS) algorithm.
引用
收藏
页码：509 / 512
页数：4
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