{"title":"基于自适应晶格滤波器的点噪声辐射源组合测向器","authors":"M. Bondarenko, D. I. Lekhovitsky","doi":"10.1109/CAMAP.2005.1574222","DOIUrl":null,"url":null,"abstract":"A unified approach for the implementation of DOA estimation algorithms for some number of point sources is proposed and analyzed, based on adaptive lattice filters. The important advantages of this approach with respect to eigensubspace techniques such as MUSIC, are demonstrated for practical applications","PeriodicalId":281761,"journal":{"name":"1st IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2005.","volume":"21 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2005-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Combined direction finders of point noise radiation sources in AA based on adaptive lattice filters\",\"authors\":\"M. Bondarenko, D. I. Lekhovitsky\",\"doi\":\"10.1109/CAMAP.2005.1574222\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A unified approach for the implementation of DOA estimation algorithms for some number of point sources is proposed and analyzed, based on adaptive lattice filters. The important advantages of this approach with respect to eigensubspace techniques such as MUSIC, are demonstrated for practical applications\",\"PeriodicalId\":281761,\"journal\":{\"name\":\"1st IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2005.\",\"volume\":\"21 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2005-12-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"1st IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2005.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CAMAP.2005.1574222\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"1st IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2005.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CAMAP.2005.1574222","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Combined direction finders of point noise radiation sources in AA based on adaptive lattice filters
A unified approach for the implementation of DOA estimation algorithms for some number of point sources is proposed and analyzed, based on adaptive lattice filters. The important advantages of this approach with respect to eigensubspace techniques such as MUSIC, are demonstrated for practical applications