Title :
A Variant of the EMS Decoding Algorithm for Nonbinary LDPC Codes
Author :
Shancheng Zhao ; Zhifei Lu ; Xiao Ma ; Baoming Bai
Author_Institution :
Dept. of ECE, Sun Yat-sen Univ., Guangzhou, China
Abstract :
This letter is concerned with low-complexity decoding algorithms for nonbinary low-density parity-check (NB-LDPC) codes. A new truncation rule based on an adaptive threshold μ is proposed for the extended min-sum (EMS) algorithm. The threshold μ is determined by the mean of the message vector. Therefore, it can be matched to channel observation and decoding iteration. The resulting algorithm is referred to as μ-EMS algorithm. Simulation results show that the μ-EMS algorithm performs almost as well as the Q-ary sum-product algorithm (QSPA). Simulation results also show that the μ-EMS algorithm is simpler than the other X-EMS algorithms for NB-LDPC over high order finite fields.
Keywords :
iterative decoding; parity check codes; EMS algorithm; EMS decoding algorithm; NB-LDPC codes; Q-ary sum-product algorithm; QSPA; adaptive threshold; channel observation; decoding iteration; extended minsum algorithm; low complexity decoding algorithms; message vector; nonbinary LDPC codes; nonbinary low density parity check codes; Algorithm design and analysis; Bit error rate; Complexity theory; Decoding; Parity check codes; Simulation; Vectors; Extended min-sum (EMS) algorithm; QSPA; X-EMS; min-sum (MS) algorithm; nonbinary LDPC (NB-LDPC) code;
Journal_Title :
Communications Letters, IEEE
DOI :
10.1109/LCOMM.2013.070113.130806