{"title":"一种定位宽带信号源的新方法","authors":"S. Bourennane, M. Frikel","doi":"10.1109/DSPWS.1996.555526","DOIUrl":null,"url":null,"abstract":"We present a noneigenvector algorithm for the DOA estimator calculation. This algorithm is based on the partitioning of the cross-spectral matrix. An operator, the so-called propagator, is estimated. It has been shown that the propagator has the same properties as the noise subspace. The proposed algorithm is very effective in computations and resolves the source localization problem in the presence of the correlated noise. The simulation results concerning the performance of the developed method are presented.","PeriodicalId":131323,"journal":{"name":"1996 IEEE Digital Signal Processing Workshop Proceedings","volume":"54 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1996-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"New method for locating the wideband sources\",\"authors\":\"S. Bourennane, M. Frikel\",\"doi\":\"10.1109/DSPWS.1996.555526\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We present a noneigenvector algorithm for the DOA estimator calculation. This algorithm is based on the partitioning of the cross-spectral matrix. An operator, the so-called propagator, is estimated. It has been shown that the propagator has the same properties as the noise subspace. The proposed algorithm is very effective in computations and resolves the source localization problem in the presence of the correlated noise. The simulation results concerning the performance of the developed method are presented.\",\"PeriodicalId\":131323,\"journal\":{\"name\":\"1996 IEEE Digital Signal Processing Workshop Proceedings\",\"volume\":\"54 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1996-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"1996 IEEE Digital Signal Processing Workshop Proceedings\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/DSPWS.1996.555526\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"1996 IEEE Digital Signal Processing Workshop Proceedings","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DSPWS.1996.555526","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
We present a noneigenvector algorithm for the DOA estimator calculation. This algorithm is based on the partitioning of the cross-spectral matrix. An operator, the so-called propagator, is estimated. It has been shown that the propagator has the same properties as the noise subspace. The proposed algorithm is very effective in computations and resolves the source localization problem in the presence of the correlated noise. The simulation results concerning the performance of the developed method are presented.
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