{"title":"基于盲源分离的均匀圆阵二维角度估计","authors":"Z. Hu, Feng He, Jubo Zhu","doi":"10.1109/WCSP.2010.5633547","DOIUrl":null,"url":null,"abstract":"This paper proposes a blind source separation (BSS)-based method for 2-D angle estimation of multiple emitter using a uniform circular array (UCA). The array manifold matrix is first estimated via BSS method. Then 2-D angle is obtained by applying least squares method to each column of the estimated matrix, each column corresponds to a pair of 2-D angle. The proposed method do not need parameter pairing or 2-D frequency search operation. Some simulation results are presented to demonstrate the effectiveness of the proposed method.","PeriodicalId":448094,"journal":{"name":"2010 International Conference on Wireless Communications & Signal Processing (WCSP)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Blind source separation-based 2-D angle estimation with uniform circular array\",\"authors\":\"Z. Hu, Feng He, Jubo Zhu\",\"doi\":\"10.1109/WCSP.2010.5633547\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper proposes a blind source separation (BSS)-based method for 2-D angle estimation of multiple emitter using a uniform circular array (UCA). The array manifold matrix is first estimated via BSS method. Then 2-D angle is obtained by applying least squares method to each column of the estimated matrix, each column corresponds to a pair of 2-D angle. The proposed method do not need parameter pairing or 2-D frequency search operation. Some simulation results are presented to demonstrate the effectiveness of the proposed method.\",\"PeriodicalId\":448094,\"journal\":{\"name\":\"2010 International Conference on Wireless Communications & Signal Processing (WCSP)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-11-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 International Conference on Wireless Communications & Signal Processing (WCSP)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/WCSP.2010.5633547\",\"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 International Conference on Wireless Communications & Signal Processing (WCSP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WCSP.2010.5633547","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Blind source separation-based 2-D angle estimation with uniform circular array
This paper proposes a blind source separation (BSS)-based method for 2-D angle estimation of multiple emitter using a uniform circular array (UCA). The array manifold matrix is first estimated via BSS method. Then 2-D angle is obtained by applying least squares method to each column of the estimated matrix, each column corresponds to a pair of 2-D angle. The proposed method do not need parameter pairing or 2-D frequency search operation. Some simulation results are presented to demonstrate the effectiveness of the proposed method.