Title :
Adaptive-normalized min-sum algorithm
Author :
Wu, Xiaofu ; Song, Yue ; Cui, Long ; Jiang, Ming ; Zhao, Chunming
Author_Institution :
Inst. of Commun. Eng., PLA Univ. of Sci. &Tech., Nanjing, China
Abstract :
An adaptive-normalized min-sum (AN-MS) algorithm for decoding low-density parity-check (LDPC) codes is proposed. Unlike the normalized min-sum (NMS) algorithm, the normalization factor is adaptively adjusted according to the state of check nodes in each iteration. Simulation results show that the proposed AN-MS algorithm can perform better than the NMS algorithm while still preserving the low complexity of the min-sum algorithm.
Keywords :
decoding; minimax techniques; parity check codes; AN-MS algorithm; decoding; low complexity; low-density parity-check codes; min-sum algorithm; normalization factor; AWGN; Additive white noise; Approximation algorithms; Binary phase shift keying; Iterative algorithms; Iterative decoding; Mobile communication; Parity check codes; Programmable logic arrays; Signal to noise ratio; decoding; low-density parity-check (LDPC) codes; min-sum algorithm;
Conference_Titel :
Future Computer and Communication (ICFCC), 2010 2nd International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-5821-9
DOI :
10.1109/ICFCC.2010.5497569
