{"title":"使用LMS算法的空间平滑技术的性能","authors":"P. D. Anderson, M. A. Ingram, J. S. Goldstein","doi":"10.1109/MILCOM.1994.473825","DOIUrl":null,"url":null,"abstract":"The effects of correlated interference on narrowband adaptive arrays are reviewed. The performance of the spatial smoothing technique, used in a generalized sidelobe canceler with the least mean squares algorithm, is examined in terms of weight misadjustment, mean squared error, and signal-to-noise ratio. One method of combining the algorithm with spatial smoothing is shown to obey a set of nonhomogeneous dynamical equations. A numerical example is presented to support the analysis.<<ETX>>","PeriodicalId":337873,"journal":{"name":"Proceedings of MILCOM '94","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"1994-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"The performance of spatial smoothing techniques using the LMS algorithm\",\"authors\":\"P. D. Anderson, M. A. Ingram, J. S. Goldstein\",\"doi\":\"10.1109/MILCOM.1994.473825\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The effects of correlated interference on narrowband adaptive arrays are reviewed. The performance of the spatial smoothing technique, used in a generalized sidelobe canceler with the least mean squares algorithm, is examined in terms of weight misadjustment, mean squared error, and signal-to-noise ratio. One method of combining the algorithm with spatial smoothing is shown to obey a set of nonhomogeneous dynamical equations. A numerical example is presented to support the analysis.<<ETX>>\",\"PeriodicalId\":337873,\"journal\":{\"name\":\"Proceedings of MILCOM '94\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1994-10-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of MILCOM '94\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MILCOM.1994.473825\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of MILCOM '94","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MILCOM.1994.473825","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The performance of spatial smoothing techniques using the LMS algorithm
The effects of correlated interference on narrowband adaptive arrays are reviewed. The performance of the spatial smoothing technique, used in a generalized sidelobe canceler with the least mean squares algorithm, is examined in terms of weight misadjustment, mean squared error, and signal-to-noise ratio. One method of combining the algorithm with spatial smoothing is shown to obey a set of nonhomogeneous dynamical equations. A numerical example is presented to support the analysis.<>
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