Information Storage Bit-Flipping Decoder for LDPC Codes
Hangxuan Cui, Jun Lin, Zhongfeng Wang
Abstract
Tabu-list random-penalty gradient descent bit-flipping (TRGDBF) decoder is the state-of-the-art hard-decision low-density parity-check (LDPC) decoder in terms of error-correction performance on binary symmetric channel (BSC). However, the TRGDBF decoder suffers from a long critical path caused by the global maximum-finding operation, limiting the achievable throughput. This brief proposes an information storage bit-flipping (ISBF) decoder to solve this problem. Different from the existing bit-flipping (BF) decoders which adopt serial decoding manner, in the ISBF decoder, by storing the previous decoding information, the global maximum-finding operation can be executed in parallel to other decoding operations, significantly shortening the critical path. Moreover, a nonuniform flipping rule is incorporated to achieve a better decoding performance. We also present an efficient architecture to implement the ISBF decoder. The design example demonstrates that compared to other hard-decision BF decoders, the ISBF decoder could provide both the best decoding performance and throughput on BSC.