{"title":"On focusing preprocessor for broadband beamforming","authors":"S. Sivanand","doi":"10.1109/SSAP.1992.246778","DOIUrl":null,"url":null,"abstract":"The coherent signal-subspace approach to broadband adaptive beamforming involves a focusing preprocessor that aligns signal spaces at different frequencies to a common one by means of transformations and a narrowband beamformer following the preprocessor. The merits of the approach are decorrelation of multipath signals and partial adaptivity due to single-frequency weights. This paper deals with the optimality of the focused beamformer compared with that of conventional broadband beamformer. An analytical and empirical evaluation of different focusing transformations is presented.<<ETX>>","PeriodicalId":309407,"journal":{"name":"[1992] IEEE Sixth SP Workshop on Statistical Signal and Array Processing","volume":"229 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1992-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"[1992] IEEE Sixth SP Workshop on Statistical Signal and Array Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SSAP.1992.246778","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
The coherent signal-subspace approach to broadband adaptive beamforming involves a focusing preprocessor that aligns signal spaces at different frequencies to a common one by means of transformations and a narrowband beamformer following the preprocessor. The merits of the approach are decorrelation of multipath signals and partial adaptivity due to single-frequency weights. This paper deals with the optimality of the focused beamformer compared with that of conventional broadband beamformer. An analytical and empirical evaluation of different focusing transformations is presented.<>
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