{"title":"Joint estimation of signal and mutual coupling parameters based on spatially spread polarization sensitive array","authors":"Huiyong Li, Zihui Luo, Julan Xie, Jun Li","doi":"10.1109/APSIPA.2017.8282156","DOIUrl":null,"url":null,"abstract":"A reduced-dimensional MUSIC (RD-MUSIC) algorithm is proposed to reduce the computation of blind joint direction-of-arrival (DOA), polarization and the mutual coupling parameters estimation algorithm based on spatially spread polarization sensitive uniform linear array (ULA). This algorithm works in two steps. In the first step, DOA parameter and polarization parameters are separated from the mutual coupling through matrix transformation, which are then estimated by RD-MUSIC algorithm. In the second step, the mutual coupling coefficients are estimated via eigen-decomposition with modulus constraint. Simulation results show the effectiveness of the proposed method for joint signal parameters and mutual coupling coefficients estimation.","PeriodicalId":142091,"journal":{"name":"2017 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/APSIPA.2017.8282156","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
A reduced-dimensional MUSIC (RD-MUSIC) algorithm is proposed to reduce the computation of blind joint direction-of-arrival (DOA), polarization and the mutual coupling parameters estimation algorithm based on spatially spread polarization sensitive uniform linear array (ULA). This algorithm works in two steps. In the first step, DOA parameter and polarization parameters are separated from the mutual coupling through matrix transformation, which are then estimated by RD-MUSIC algorithm. In the second step, the mutual coupling coefficients are estimated via eigen-decomposition with modulus constraint. Simulation results show the effectiveness of the proposed method for joint signal parameters and mutual coupling coefficients estimation.