{"title":"使用状态空间建模的到达方向估计","authors":"S. Prasad, B. Chandna","doi":"10.1109/SPECT.1990.205524","DOIUrl":null,"url":null,"abstract":"Presents a class of high resolution direction finding techniques for passive, uniform linear arrays. These are based on the state space parameterization of a linear array data. Directions-of-arrival (DOAs) are obtained as the eigenvalues of the state transition matrix. These techniques are also applicable to the situation of source coherence in array processing problem.<<ETX>>","PeriodicalId":117661,"journal":{"name":"Fifth ASSP Workshop on Spectrum Estimation and Modeling","volume":"32 Suppl 1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Direction of arrival estimation using state space modeling\",\"authors\":\"S. Prasad, B. Chandna\",\"doi\":\"10.1109/SPECT.1990.205524\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Presents a class of high resolution direction finding techniques for passive, uniform linear arrays. These are based on the state space parameterization of a linear array data. Directions-of-arrival (DOAs) are obtained as the eigenvalues of the state transition matrix. These techniques are also applicable to the situation of source coherence in array processing problem.<<ETX>>\",\"PeriodicalId\":117661,\"journal\":{\"name\":\"Fifth ASSP Workshop on Spectrum Estimation and Modeling\",\"volume\":\"32 Suppl 1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Fifth ASSP Workshop on Spectrum Estimation and Modeling\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SPECT.1990.205524\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Fifth ASSP Workshop on Spectrum Estimation and Modeling","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SPECT.1990.205524","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Direction of arrival estimation using state space modeling
Presents a class of high resolution direction finding techniques for passive, uniform linear arrays. These are based on the state space parameterization of a linear array data. Directions-of-arrival (DOAs) are obtained as the eigenvalues of the state transition matrix. These techniques are also applicable to the situation of source coherence in array processing problem.<>