{"title":"基于子空间分离和功能链路神经网络的DS-CDMA信号接收机","authors":"Chengliang Li, Weiyu Zheng","doi":"10.1109/ICACT.2006.206080","DOIUrl":null,"url":null,"abstract":"In DS-CDMA communication systems, each user is distinguished by a unique spreading code to modulate binary data. At the side of the receiver, the signal for the desired user must be separated from the summed signal. This paper presents a subspace separator and functional link neural network based method to separate the desired user and eliminate the co-channel and interference as well as additional Gaussian noise. At last some computer simulation results of the receiver combining these two techniques are given","PeriodicalId":247315,"journal":{"name":"2006 8th International Conference Advanced Communication Technology","volume":"38 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Subspace Separator and Functional Link Neural Network Based Receiver for DS-CDMA Signal\",\"authors\":\"Chengliang Li, Weiyu Zheng\",\"doi\":\"10.1109/ICACT.2006.206080\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In DS-CDMA communication systems, each user is distinguished by a unique spreading code to modulate binary data. At the side of the receiver, the signal for the desired user must be separated from the summed signal. This paper presents a subspace separator and functional link neural network based method to separate the desired user and eliminate the co-channel and interference as well as additional Gaussian noise. At last some computer simulation results of the receiver combining these two techniques are given\",\"PeriodicalId\":247315,\"journal\":{\"name\":\"2006 8th International Conference Advanced Communication Technology\",\"volume\":\"38 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2006-05-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2006 8th International Conference Advanced Communication Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICACT.2006.206080\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2006 8th International Conference Advanced Communication Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICACT.2006.206080","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Subspace Separator and Functional Link Neural Network Based Receiver for DS-CDMA Signal
In DS-CDMA communication systems, each user is distinguished by a unique spreading code to modulate binary data. At the side of the receiver, the signal for the desired user must be separated from the summed signal. This paper presents a subspace separator and functional link neural network based method to separate the desired user and eliminate the co-channel and interference as well as additional Gaussian noise. At last some computer simulation results of the receiver combining these two techniques are given
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