{"title":"基于A*算法的分组编码CDMA的最大似然检测","authors":"Peter Németh, L. Rasmussen, T. Aulin","doi":"10.1109/ISIT.2001.935951","DOIUrl":null,"url":null,"abstract":"Maximum-likelihood soft-decision decoding of block coded CDMA using the A* algorithm is considered. Different heuristic functions are considered, applied to coded and uncoded CDMA. The average complexity involved in ML detection for both uncoded and coded CDMA is investigated. The (23,12) Golay code is used in the coded case.","PeriodicalId":433761,"journal":{"name":"Proceedings. 2001 IEEE International Symposium on Information Theory (IEEE Cat. No.01CH37252)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2001-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"Maximum-likelihood detection of block coded CDMA using the A* algorithm\",\"authors\":\"Peter Németh, L. Rasmussen, T. Aulin\",\"doi\":\"10.1109/ISIT.2001.935951\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Maximum-likelihood soft-decision decoding of block coded CDMA using the A* algorithm is considered. Different heuristic functions are considered, applied to coded and uncoded CDMA. The average complexity involved in ML detection for both uncoded and coded CDMA is investigated. The (23,12) Golay code is used in the coded case.\",\"PeriodicalId\":433761,\"journal\":{\"name\":\"Proceedings. 2001 IEEE International Symposium on Information Theory (IEEE Cat. No.01CH37252)\",\"volume\":\"23 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2001-06-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings. 2001 IEEE International Symposium on Information Theory (IEEE Cat. No.01CH37252)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISIT.2001.935951\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings. 2001 IEEE International Symposium on Information Theory (IEEE Cat. No.01CH37252)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISIT.2001.935951","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Maximum-likelihood detection of block coded CDMA using the A* algorithm
Maximum-likelihood soft-decision decoding of block coded CDMA using the A* algorithm is considered. Different heuristic functions are considered, applied to coded and uncoded CDMA. The average complexity involved in ML detection for both uncoded and coded CDMA is investigated. The (23,12) Golay code is used in the coded case.