存在线性流形畸变的阵列校准

2017 51st Asilomar Conference on Signals, Systems, and Computers Pub Date : 2017-10-01 DOI:10.1109/ACSSC.2017.8335541

B. Friedlander

{"title":"存在线性流形畸变的阵列校准","authors":"B. Friedlander","doi":"10.1109/ACSSC.2017.8335541","DOIUrl":null,"url":null,"abstract":"We consider the problem of calibrating an antenna array using received signals from known or unknown directions. A linear distortion model is used to characterize the mismatch between the true and assumed array manifolds. An iterative algorithm is presented for the joint estimation of the directions-of-arrival and the distortion matrix based on data collected during multiple time intervals.","PeriodicalId":296208,"journal":{"name":"2017 51st Asilomar Conference on Signals, Systems, and Computers","volume":"87 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Array calibration in the presence of linear manifold distortion\",\"authors\":\"B. Friedlander\",\"doi\":\"10.1109/ACSSC.2017.8335541\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We consider the problem of calibrating an antenna array using received signals from known or unknown directions. A linear distortion model is used to characterize the mismatch between the true and assumed array manifolds. An iterative algorithm is presented for the joint estimation of the directions-of-arrival and the distortion matrix based on data collected during multiple time intervals.\",\"PeriodicalId\":296208,\"journal\":{\"name\":\"2017 51st Asilomar Conference on Signals, Systems, and Computers\",\"volume\":\"87 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 51st Asilomar Conference on Signals, Systems, and Computers\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ACSSC.2017.8335541\",\"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 51st Asilomar Conference on Signals, Systems, and Computers","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ACSSC.2017.8335541","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 3

摘要

我们考虑了利用已知或未知方向的接收信号校准天线阵列的问题。线性失真模型用于描述真实阵列流形与假设阵列流形之间的不匹配。提出了一种基于多时间间隔数据的到达方向和畸变矩阵联合估计的迭代算法。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Array calibration in the presence of linear manifold distortion

We consider the problem of calibrating an antenna array using received signals from known or unknown directions. A linear distortion model is used to characterize the mismatch between the true and assumed array manifolds. An iterative algorithm is presented for the joint estimation of the directions-of-arrival and the distortion matrix based on data collected during multiple time intervals.

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

2017 51st Asilomar Conference on Signals, Systems, and Computers

自引率

0.00%

发文量