{"title":"一种新的近场源定位算法","authors":"Xu Qian, L. Hong","doi":"10.1109/ICSPS.2010.5555278","DOIUrl":null,"url":null,"abstract":"An estimation algorithm for three-dimensional frequency, DOA and range of near-field sources was proposed, which used second-order statistics (SOS) matrix to estimate frequency and DOA of each source. Then the range estimation was performed with the estimated DOA through finite one-dimensional searching. This algorithm improves the precision of range estimation compared to the SOS method. Finally, the effectiveness of the proposed algorithm was verified by computer simulation.","PeriodicalId":234084,"journal":{"name":"2010 2nd International Conference on Signal Processing Systems","volume":"43 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"A novel near-field source localization algorithm\",\"authors\":\"Xu Qian, L. Hong\",\"doi\":\"10.1109/ICSPS.2010.5555278\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"An estimation algorithm for three-dimensional frequency, DOA and range of near-field sources was proposed, which used second-order statistics (SOS) matrix to estimate frequency and DOA of each source. Then the range estimation was performed with the estimated DOA through finite one-dimensional searching. This algorithm improves the precision of range estimation compared to the SOS method. Finally, the effectiveness of the proposed algorithm was verified by computer simulation.\",\"PeriodicalId\":234084,\"journal\":{\"name\":\"2010 2nd International Conference on Signal Processing Systems\",\"volume\":\"43 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-07-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 2nd International Conference on Signal Processing Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICSPS.2010.5555278\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 2nd International Conference on Signal Processing Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSPS.2010.5555278","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An estimation algorithm for three-dimensional frequency, DOA and range of near-field sources was proposed, which used second-order statistics (SOS) matrix to estimate frequency and DOA of each source. Then the range estimation was performed with the estimated DOA through finite one-dimensional searching. This algorithm improves the precision of range estimation compared to the SOS method. Finally, the effectiveness of the proposed algorithm was verified by computer simulation.
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