DocumentCode :
2851341
Title :
A low-complexity algorithm for decoding of M-ary LDPC codes
Author :
Pang, Baomao ; Shi, Haoshan ; He, Guanghua
Author_Institution :
Coll. of Electron. Inf., Northwest Polytech. Univ., Xian, China
fYear :
2012
fDate :
24-27 June 2012
Firstpage :
345
Lastpage :
348
Abstract :
M-ary LDPC codes provide higher performances than their binary counterpart but suffer from highest decoding complexity. The use of stochastic decoding algorithm can reduce the decoding complexity, but the computational complexity of probability generation is very high. A simple method to fast generate the probability especially in high-order modulation schemes is proposed in this paper. Simulation results show the proposed algorithm causes negligible performance degradation with reduction in computational complexity, which gives some advantages in hardware implementation of the decoders.
Keywords :
computational complexity; decoding; modulation coding; parity check codes; probability; stochastic processes; M-ary LDPC codes; computational complexity; decoding complexity; high-order modulation schemes; low-complexity algorithm; probability generation; stochastic decoding algorithm; Complexity theory; Decoding; Message systems; Parity check codes; LDPC decoding; M-QAM; algorithm Complexity; approximate probability generation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical & Electronics Engineering (EEESYM), 2012 IEEE Symposium on
Conference_Location :
Kuala Lumpur
Print_ISBN :
978-1-4673-2363-5
Type :
conf
DOI :
10.1109/EEESym.2012.6258660
Filename :
6258660
Link To Document :
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