{"title":"一种新的信号检测协同算法","authors":"Lei Wang, Lei Li, B. Zheng","doi":"10.1109/ICWAPR.2009.5207482","DOIUrl":null,"url":null,"abstract":"In this paper, a new cooperative scheme for signal detection is proposed. Unlike previous works in the field, the new scheme does not require the knowledge of the noise statistics and is related to the behavior of the largest and smallest eigenvalue of channel matrices. Simulations show that the new algorithm is effective, outperforming classical energy detected techniques.","PeriodicalId":424264,"journal":{"name":"2009 International Conference on Wavelet Analysis and Pattern Recognition","volume":"116 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A new cooperative algorithm for signal detection\",\"authors\":\"Lei Wang, Lei Li, B. Zheng\",\"doi\":\"10.1109/ICWAPR.2009.5207482\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, a new cooperative scheme for signal detection is proposed. Unlike previous works in the field, the new scheme does not require the knowledge of the noise statistics and is related to the behavior of the largest and smallest eigenvalue of channel matrices. Simulations show that the new algorithm is effective, outperforming classical energy detected techniques.\",\"PeriodicalId\":424264,\"journal\":{\"name\":\"2009 International Conference on Wavelet Analysis and Pattern Recognition\",\"volume\":\"116 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-07-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 International Conference on Wavelet Analysis and Pattern Recognition\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICWAPR.2009.5207482\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 International Conference on Wavelet Analysis and Pattern Recognition","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICWAPR.2009.5207482","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
In this paper, a new cooperative scheme for signal detection is proposed. Unlike previous works in the field, the new scheme does not require the knowledge of the noise statistics and is related to the behavior of the largest and smallest eigenvalue of channel matrices. Simulations show that the new algorithm is effective, outperforming classical energy detected techniques.
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