{"title":"LDGM代码中的误差层分析","authors":"Kejing Liu, J. Garcia-Frías","doi":"10.1109/ISIT.2010.5513607","DOIUrl":null,"url":null,"abstract":"Based on discrete density evolution (DDE), we develop closed form expressions to predict the error floor of LDGM codes. The first, rougher, approximation is obtained by assuming perfect message passing between systematic and parity bit nodes in DDE. The second, finer, expression leads to a more involved formulation. While the rougher approximation matches well to simulation results and DDE analysis for high signal to noise ratio (additive white Gaussian noise, AWGN, channel) or low crossover probability (binary symmetric channel, BSC), the finer approximation shows a good match for a wider range in the channel quality.","PeriodicalId":147055,"journal":{"name":"2010 IEEE International Symposium on Information Theory","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"20","resultStr":"{\"title\":\"Error floor analysis in LDGM codes\",\"authors\":\"Kejing Liu, J. Garcia-Frías\",\"doi\":\"10.1109/ISIT.2010.5513607\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Based on discrete density evolution (DDE), we develop closed form expressions to predict the error floor of LDGM codes. The first, rougher, approximation is obtained by assuming perfect message passing between systematic and parity bit nodes in DDE. The second, finer, expression leads to a more involved formulation. While the rougher approximation matches well to simulation results and DDE analysis for high signal to noise ratio (additive white Gaussian noise, AWGN, channel) or low crossover probability (binary symmetric channel, BSC), the finer approximation shows a good match for a wider range in the channel quality.\",\"PeriodicalId\":147055,\"journal\":{\"name\":\"2010 IEEE International Symposium on Information Theory\",\"volume\":\"6 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-06-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"20\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 IEEE International Symposium on Information Theory\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISIT.2010.5513607\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 IEEE International Symposium on Information Theory","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISIT.2010.5513607","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Based on discrete density evolution (DDE), we develop closed form expressions to predict the error floor of LDGM codes. The first, rougher, approximation is obtained by assuming perfect message passing between systematic and parity bit nodes in DDE. The second, finer, expression leads to a more involved formulation. While the rougher approximation matches well to simulation results and DDE analysis for high signal to noise ratio (additive white Gaussian noise, AWGN, channel) or low crossover probability (binary symmetric channel, BSC), the finer approximation shows a good match for a wider range in the channel quality.