Title :
Low Complexity Decoding Algorithm of QC-LDPC Code
Author :
Yi, Fanglong ; Wang, Pengjun
Author_Institution :
Inst. of Circuits & Syst., Ningbo Univ., Ningbo, China
Abstract :
Through the research on the decoding algorithm of low-density parity-check (LDPC) code, a low complexity decoding algorithm suitable for quasi-cyclic LDPC (QC-LDPC) code is proposed in this paper. The algorithm adopts layered decoding (LD), and the sub-minimum is replaced by the sum of an optimal correction factor and the minimum during the process of the check nodes update. Therefore, it is not required to find the sub-minimum and the computational complexity reduces significantly. Matlab simulation results show that the decoding performance of this algorithm is very near to min-sum (MS) algorithm, and more superior than single min-sum (SMS) algorithm.
Keywords :
computational complexity; cyclic codes; decoding; parity check codes; Matlab simulation; QC-LDPC code; SMS algorithm; computational complexity; layered decoding; low-complexity decoding algorithm; optimal correction factor; quasicyclic low density parity check code; single-min-sum algorithm; Algorithm design and analysis; Computational complexity; Decoding; Iterative decoding; Signal to noise ratio; LDPC; decoding algorithm; layered decoding; optimal correction factor;
Conference_Titel :
Services Computing Conference (APSCC), 2010 IEEE Asia-Pacific
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4244-9396-8
DOI :
10.1109/APSCC.2010.71