{"title":"鲁棒多用户检测的状态空间方法","authors":"A. El-Keyi, T. Kirubarajan, A. Gershman","doi":"10.1109/CAMAP.2005.1574205","DOIUrl":null,"url":null,"abstract":"In this paper, we develop a state-space approach to the blind multiuser detection problem with robustness against arbitrary mismatches in the desired user signature. A state-space approach to the decision directed detection problem and an algorithm for switching between the two detection techniques are also presented. The proposed switching algorithm can achieve an output signal-to-interference-plus-noise ratio (SINR) comparable to that of the minimum mean square error (MMSE) detector without any training even in the presence of desired user signature mismatches","PeriodicalId":281761,"journal":{"name":"1st IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2005.","volume":"36 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A state-space approach to robust multiuser detection\",\"authors\":\"A. El-Keyi, T. Kirubarajan, A. Gershman\",\"doi\":\"10.1109/CAMAP.2005.1574205\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we develop a state-space approach to the blind multiuser detection problem with robustness against arbitrary mismatches in the desired user signature. A state-space approach to the decision directed detection problem and an algorithm for switching between the two detection techniques are also presented. The proposed switching algorithm can achieve an output signal-to-interference-plus-noise ratio (SINR) comparable to that of the minimum mean square error (MMSE) detector without any training even in the presence of desired user signature mismatches\",\"PeriodicalId\":281761,\"journal\":{\"name\":\"1st IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2005.\",\"volume\":\"36 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"1st IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2005.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CAMAP.2005.1574205\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"1st IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2005.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CAMAP.2005.1574205","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A state-space approach to robust multiuser detection
In this paper, we develop a state-space approach to the blind multiuser detection problem with robustness against arbitrary mismatches in the desired user signature. A state-space approach to the decision directed detection problem and an algorithm for switching between the two detection techniques are also presented. The proposed switching algorithm can achieve an output signal-to-interference-plus-noise ratio (SINR) comparable to that of the minimum mean square error (MMSE) detector without any training even in the presence of desired user signature mismatches