{"title":"构造循环块型LDPC码,实现低复杂度硬件","authors":"Kuang-Hao Lin, R. Chang, A. Huang, Sheng-Dong Wu","doi":"10.1109/ICECS.2008.4675071","DOIUrl":null,"url":null,"abstract":"In this paper, we construct the cyclic block-type low-density parity-check (CB-LDPC) codes for low complexity hardware implementation. The CB-LDPC code, which is a special class of quasi-cyclic LDPC (QC-LDPC), has an efficient encoding algorithm due to the simple structure of their parity-check matrices. A distribution of irregular parity-check matrix for the CB-LDPC is developed so that we can obtain an area-efficient decoder design, good error correction performance, and low complexity architecture implementation. The CB-LDPC code decoding uses the iterative min-sum algorithm (MSA) and the block parallel connection design to improve the hardware architecture complexity and area.","PeriodicalId":404629,"journal":{"name":"2008 15th IEEE International Conference on Electronics, Circuits and Systems","volume":"136 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Construction of the cyclic block-type LDPC codes for low complexity hardware implementation\",\"authors\":\"Kuang-Hao Lin, R. Chang, A. Huang, Sheng-Dong Wu\",\"doi\":\"10.1109/ICECS.2008.4675071\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we construct the cyclic block-type low-density parity-check (CB-LDPC) codes for low complexity hardware implementation. The CB-LDPC code, which is a special class of quasi-cyclic LDPC (QC-LDPC), has an efficient encoding algorithm due to the simple structure of their parity-check matrices. A distribution of irregular parity-check matrix for the CB-LDPC is developed so that we can obtain an area-efficient decoder design, good error correction performance, and low complexity architecture implementation. The CB-LDPC code decoding uses the iterative min-sum algorithm (MSA) and the block parallel connection design to improve the hardware architecture complexity and area.\",\"PeriodicalId\":404629,\"journal\":{\"name\":\"2008 15th IEEE International Conference on Electronics, Circuits and Systems\",\"volume\":\"136 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-11-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2008 15th IEEE International Conference on Electronics, Circuits and Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICECS.2008.4675071\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 15th IEEE International Conference on Electronics, Circuits and Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICECS.2008.4675071","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Construction of the cyclic block-type LDPC codes for low complexity hardware implementation
In this paper, we construct the cyclic block-type low-density parity-check (CB-LDPC) codes for low complexity hardware implementation. The CB-LDPC code, which is a special class of quasi-cyclic LDPC (QC-LDPC), has an efficient encoding algorithm due to the simple structure of their parity-check matrices. A distribution of irregular parity-check matrix for the CB-LDPC is developed so that we can obtain an area-efficient decoder design, good error correction performance, and low complexity architecture implementation. The CB-LDPC code decoding uses the iterative min-sum algorithm (MSA) and the block parallel connection design to improve the hardware architecture complexity and area.