Near optimal reduced-complexity decoding algorithms for LDPC codes

被引：9
|
作者：
Chen, J [1 ]
Dholakia, A [1 ]
Eleftheriou, E [1 ]
Fossorier, M [1 ]
Hu, XY [1 ]
机构：
[1] Univ Hawaii Manoa, Dept Elect Engn, Honolulu, HI 96822 USA
来源：
ISIT: 2002 IEEE INTERNATIONAL SYMPOSIUM ON INFORMATION THEORY, PROCEEDINGS | 2002年
关键词：
D O I：
10.1109/ISIT.2002.1023727
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, two families of reduced-complexity algorithms for decoding low-density parity-check (LDPC) codes based on incorporating either a normalization or a correction term in the check-node update are presented. A simplified symbol-node update can also be used. Using simulations, it is shown that these simplified belief propagation (BP) approaches provide near optimum performance with different classes of LDPC codes.
引用
收藏
页码：455 / 455
页数：1
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