{"title":"一种基于空间非配置矢量传感器阵列的方位和偏振估计方法","authors":"Fang Liu, Huiyong Li, W. Xia, Yikai Wang","doi":"10.1109/ChinaSIP.2014.6889347","DOIUrl":null,"url":null,"abstract":"To reduce the mutual coupling across the collocated sensor, a distributed array geometry composed of crossed dipole pair is introduced in this paper. Based on the non-collocated vector sensor array, an ESPRIT-based method is newly proposed to estimate the direction of arrival (DOA) and polarization parameter. Due to the special structure of non-collocated array, the DOA and polarization parameter are paired automatically, and thus the computational complexity is greatly reduced. The Cramer-Rao Lower Bound (CRLB) has been derived and the performance of DOA and polarization estimation for the distributed array is also analyzed. Simulation results verify the effective parameter estimation performance of the proposed method by using a spatially non-collocated array.","PeriodicalId":248977,"journal":{"name":"2014 IEEE China Summit & International Conference on Signal and Information Processing (ChinaSIP)","volume":"90 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"A DOA and polarization estimation method using a spatially non-collocated vector sensor array\",\"authors\":\"Fang Liu, Huiyong Li, W. Xia, Yikai Wang\",\"doi\":\"10.1109/ChinaSIP.2014.6889347\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"To reduce the mutual coupling across the collocated sensor, a distributed array geometry composed of crossed dipole pair is introduced in this paper. Based on the non-collocated vector sensor array, an ESPRIT-based method is newly proposed to estimate the direction of arrival (DOA) and polarization parameter. Due to the special structure of non-collocated array, the DOA and polarization parameter are paired automatically, and thus the computational complexity is greatly reduced. The Cramer-Rao Lower Bound (CRLB) has been derived and the performance of DOA and polarization estimation for the distributed array is also analyzed. Simulation results verify the effective parameter estimation performance of the proposed method by using a spatially non-collocated array.\",\"PeriodicalId\":248977,\"journal\":{\"name\":\"2014 IEEE China Summit & International Conference on Signal and Information Processing (ChinaSIP)\",\"volume\":\"90 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-07-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 IEEE China Summit & International Conference on Signal and Information Processing (ChinaSIP)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ChinaSIP.2014.6889347\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE China Summit & International Conference on Signal and Information Processing (ChinaSIP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ChinaSIP.2014.6889347","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A DOA and polarization estimation method using a spatially non-collocated vector sensor array
To reduce the mutual coupling across the collocated sensor, a distributed array geometry composed of crossed dipole pair is introduced in this paper. Based on the non-collocated vector sensor array, an ESPRIT-based method is newly proposed to estimate the direction of arrival (DOA) and polarization parameter. Due to the special structure of non-collocated array, the DOA and polarization parameter are paired automatically, and thus the computational complexity is greatly reduced. The Cramer-Rao Lower Bound (CRLB) has been derived and the performance of DOA and polarization estimation for the distributed array is also analyzed. Simulation results verify the effective parameter estimation performance of the proposed method by using a spatially non-collocated array.