基于空间扩频极化敏感阵列的信号和互耦参数联合估计

Huiyong Li, Zihui Luo, Julan Xie, Jun Li
{"title":"基于空间扩频极化敏感阵列的信号和互耦参数联合估计","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":"{\"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}","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

摘要

为了减少盲联合到达方向(DOA)和偏振的计算量,提出了一种降维MUSIC (RD-MUSIC)算法,以及基于空间扩频偏振敏感均匀线性阵列(ULA)的互耦参数估计算法。这个算法分为两步。首先,通过矩阵变换将DOA参数和极化参数从相互耦合中分离出来,然后利用RD-MUSIC算法进行估计;第二步,在模约束下通过特征分解估计相互耦合系数。仿真结果表明了该方法对联合信号参数和互耦系数估计的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Joint estimation of signal and mutual coupling parameters based on spatially spread polarization sensitive array
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.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信