未知互耦条件下FDA-MIMO雷达联合角度和距离估计

Feilong Liu, Shengqi Zhu, Ximin Li, Jingwei Xu, Lan Lan, Zhuochen Chen
{"title":"未知互耦条件下FDA-MIMO雷达联合角度和距离估计","authors":"Feilong Liu, Shengqi Zhu, Ximin Li, Jingwei Xu, Lan Lan, Zhuochen Chen","doi":"10.1109/ICICSP55539.2022.10050598","DOIUrl":null,"url":null,"abstract":"Multiple-input-multiple-output (MIMO) radar with frequency diverse array (FDA) has been proposed and explored in recent years. The range-angle-dependent beampattern provides the potential to obtain angle and range of targets. The traditional algorithms deteriorate while considering FDA-MIMO radar with mutual coupling. In this paper, the signal model for FDA-MIMO with unknown mutual coupling is deduced. The modified unitary ESPRIT algorithm to remove the effect of mutual coupling matrix and gain the angle and range estimation. The effectiveness of the proposed algorithm is verified by simulation results.","PeriodicalId":281095,"journal":{"name":"2022 5th International Conference on Information Communication and Signal Processing (ICICSP)","volume":"73 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Joint Angle and Range Estimation with FDA-MIMO Radar in Unknown Mutual Coupling\",\"authors\":\"Feilong Liu, Shengqi Zhu, Ximin Li, Jingwei Xu, Lan Lan, Zhuochen Chen\",\"doi\":\"10.1109/ICICSP55539.2022.10050598\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Multiple-input-multiple-output (MIMO) radar with frequency diverse array (FDA) has been proposed and explored in recent years. The range-angle-dependent beampattern provides the potential to obtain angle and range of targets. The traditional algorithms deteriorate while considering FDA-MIMO radar with mutual coupling. In this paper, the signal model for FDA-MIMO with unknown mutual coupling is deduced. The modified unitary ESPRIT algorithm to remove the effect of mutual coupling matrix and gain the angle and range estimation. The effectiveness of the proposed algorithm is verified by simulation results.\",\"PeriodicalId\":281095,\"journal\":{\"name\":\"2022 5th International Conference on Information Communication and Signal Processing (ICICSP)\",\"volume\":\"73 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-11-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 5th International Conference on Information Communication and Signal Processing (ICICSP)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICICSP55539.2022.10050598\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 5th International Conference on Information Communication and Signal Processing (ICICSP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICICSP55539.2022.10050598","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

多输入多输出分频阵列雷达(MIMO)是近年来提出和探索的一种新型雷达。距离角相关的波束图提供了获得目标角度和距离的潜力。传统的算法在考虑相互耦合的FDA-MIMO雷达时会出现性能下降。本文推导了具有未知互耦的FDA-MIMO信号模型。改进的单一ESPRIT算法消除了互耦矩阵的影响,获得了角度和距离的估计。仿真结果验证了该算法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Joint Angle and Range Estimation with FDA-MIMO Radar in Unknown Mutual Coupling
Multiple-input-multiple-output (MIMO) radar with frequency diverse array (FDA) has been proposed and explored in recent years. The range-angle-dependent beampattern provides the potential to obtain angle and range of targets. The traditional algorithms deteriorate while considering FDA-MIMO radar with mutual coupling. In this paper, the signal model for FDA-MIMO with unknown mutual coupling is deduced. The modified unitary ESPRIT algorithm to remove the effect of mutual coupling matrix and gain the angle and range estimation. The effectiveness of the proposed algorithm is verified by simulation results.
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