{"title":"归一化阈值广义选择组合的实现复杂度分析","authors":"Lei Xiao, X. Dong","doi":"10.1109/PACRIM.2005.1517332","DOIUrl":null,"url":null,"abstract":"The implementation complexity of normalized threshold generalized threshold generalized selection combining (NT-GSC) is studied via calculating statistics of the number of combined branches. Using the probability space partition approach, the average number of combined branches and the variance on the number of combined branches are derived in compact forms. The resultant formulae is applicable to arbitrary fading channels provided that the independence of the fading is met.","PeriodicalId":346880,"journal":{"name":"PACRIM. 2005 IEEE Pacific Rim Conference on Communications, Computers and signal Processing, 2005.","volume":"1 3","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2005-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Implementation complexity analysis of normalized threshold generalized selection combining\",\"authors\":\"Lei Xiao, X. Dong\",\"doi\":\"10.1109/PACRIM.2005.1517332\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The implementation complexity of normalized threshold generalized threshold generalized selection combining (NT-GSC) is studied via calculating statistics of the number of combined branches. Using the probability space partition approach, the average number of combined branches and the variance on the number of combined branches are derived in compact forms. The resultant formulae is applicable to arbitrary fading channels provided that the independence of the fading is met.\",\"PeriodicalId\":346880,\"journal\":{\"name\":\"PACRIM. 2005 IEEE Pacific Rim Conference on Communications, Computers and signal Processing, 2005.\",\"volume\":\"1 3\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2005-10-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"PACRIM. 2005 IEEE Pacific Rim Conference on Communications, Computers and signal Processing, 2005.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PACRIM.2005.1517332\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"PACRIM. 2005 IEEE Pacific Rim Conference on Communications, Computers and signal Processing, 2005.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PACRIM.2005.1517332","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Implementation complexity analysis of normalized threshold generalized selection combining
The implementation complexity of normalized threshold generalized threshold generalized selection combining (NT-GSC) is studied via calculating statistics of the number of combined branches. Using the probability space partition approach, the average number of combined branches and the variance on the number of combined branches are derived in compact forms. The resultant formulae is applicable to arbitrary fading channels provided that the independence of the fading is met.