{"title":"用未知的带状结构协方差矩阵检测存在噪声的信号数","authors":"W. Chen, J. Reilly, K. Wong","doi":"10.1109/PACRIM.1991.160698","DOIUrl":null,"url":null,"abstract":"Based on the fact that a noise is usually correlated over a limited spatial range, a detection scheme employing two spatially separated arrays is proposed. To extend this concept to the detection problem is quite natural. The problem is how to find a theoretically solid, functionally robust algorithm to process the array outputs. A canonical correlation is introduced to solve the problem, and a satisfactory method is developed.<<ETX>>","PeriodicalId":289986,"journal":{"name":"[1991] IEEE Pacific Rim Conference on Communications, Computers and Signal Processing Conference Proceedings","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1991-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"Detection of the number of signals in the presence of noise with an unknown, banded structured covariance matrix\",\"authors\":\"W. Chen, J. Reilly, K. Wong\",\"doi\":\"10.1109/PACRIM.1991.160698\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Based on the fact that a noise is usually correlated over a limited spatial range, a detection scheme employing two spatially separated arrays is proposed. To extend this concept to the detection problem is quite natural. The problem is how to find a theoretically solid, functionally robust algorithm to process the array outputs. A canonical correlation is introduced to solve the problem, and a satisfactory method is developed.<<ETX>>\",\"PeriodicalId\":289986,\"journal\":{\"name\":\"[1991] IEEE Pacific Rim Conference on Communications, Computers and Signal Processing Conference Proceedings\",\"volume\":\"15 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1991-05-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"[1991] IEEE Pacific Rim Conference on Communications, Computers and Signal Processing Conference Proceedings\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PACRIM.1991.160698\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"[1991] IEEE Pacific Rim Conference on Communications, Computers and Signal Processing Conference Proceedings","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PACRIM.1991.160698","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Detection of the number of signals in the presence of noise with an unknown, banded structured covariance matrix
Based on the fact that a noise is usually correlated over a limited spatial range, a detection scheme employing two spatially separated arrays is proposed. To extend this concept to the detection problem is quite natural. The problem is how to find a theoretically solid, functionally robust algorithm to process the array outputs. A canonical correlation is introduced to solve the problem, and a satisfactory method is developed.<>
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