{"title":"基于非线性功率估计的盲多用户检测","authors":"Guanghui Xu","doi":"10.1109/CMC.2010.209","DOIUrl":null,"url":null,"abstract":"A nonlinear parameter estimation algorithm is proposed to improve the blind multiuser detection based on power estimation (Kalman-P). In view of the estimation error of power of the desired user, the nonlinear mu-law compression function in communication theory is applied in our proposed algorithm. Computer simulations show that the new detection scheme has better performance in signal-to-interference ratio (SIR) than the Kalman-P.","PeriodicalId":296445,"journal":{"name":"2010 International Conference on Communications and Mobile Computing","volume":"244 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-04-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Blind Multiuser Detection Based on Nonlinear Power Estimation\",\"authors\":\"Guanghui Xu\",\"doi\":\"10.1109/CMC.2010.209\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A nonlinear parameter estimation algorithm is proposed to improve the blind multiuser detection based on power estimation (Kalman-P). In view of the estimation error of power of the desired user, the nonlinear mu-law compression function in communication theory is applied in our proposed algorithm. Computer simulations show that the new detection scheme has better performance in signal-to-interference ratio (SIR) than the Kalman-P.\",\"PeriodicalId\":296445,\"journal\":{\"name\":\"2010 International Conference on Communications and Mobile Computing\",\"volume\":\"244 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-04-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 International Conference on Communications and Mobile Computing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CMC.2010.209\",\"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 International Conference on Communications and Mobile Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CMC.2010.209","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Blind Multiuser Detection Based on Nonlinear Power Estimation
A nonlinear parameter estimation algorithm is proposed to improve the blind multiuser detection based on power estimation (Kalman-P). In view of the estimation error of power of the desired user, the nonlinear mu-law compression function in communication theory is applied in our proposed algorithm. Computer simulations show that the new detection scheme has better performance in signal-to-interference ratio (SIR) than the Kalman-P.
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