{"title":"An adaptive weighted multibit-flipping algorithm for decoding LDPC codes","authors":"Tso-Cho Chen, Kuan-Liang Lin","doi":"10.1109/CSQRWC.2013.6657437","DOIUrl":null,"url":null,"abstract":"An adaptive weighted multibit-flipping (AWMBF) decoding algorithm which flips multiple bits in each iteration is proposed for low-density parity-check (LDPC) codes. The multibit-flipping criterion is devised based on the least reliable positions in which reliability measure threshold is dynamically adapted during the decoding process. The proposed decoder converges faster and provides better performances than the conventional weighted bit-flipping and multibit-flipping decoders. Simulation results demonstrate that the proposed algorithm achieves a good tradeoff between performance and complexity.","PeriodicalId":355180,"journal":{"name":"2013 Cross Strait Quad-Regional Radio Science and Wireless Technology Conference","volume":"20 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 Cross Strait Quad-Regional Radio Science and Wireless Technology Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CSQRWC.2013.6657437","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
An adaptive weighted multibit-flipping (AWMBF) decoding algorithm which flips multiple bits in each iteration is proposed for low-density parity-check (LDPC) codes. The multibit-flipping criterion is devised based on the least reliable positions in which reliability measure threshold is dynamically adapted during the decoding process. The proposed decoder converges faster and provides better performances than the conventional weighted bit-flipping and multibit-flipping decoders. Simulation results demonstrate that the proposed algorithm achieves a good tradeoff between performance and complexity.