Extended target detection of MIMO radar based on GLRT in compound-Gaussian clutter

Xiaobin Liu, Jin Liu, F. Zhao, Xiaofeng Ai, Guoyu Wang
{"title":"Extended target detection of MIMO radar based on GLRT in compound-Gaussian clutter","authors":"Xiaobin Liu, Jin Liu, F. Zhao, Xiaofeng Ai, Guoyu Wang","doi":"10.23919/IRS.2017.8008237","DOIUrl":null,"url":null,"abstract":"Multiple-input multiple-output (MIMO) radars with wideband signals are useful to discriminate target in clutter. With wideband MIMO radar, the problem of extended target detection in compound-Gaussian clutter is considered in this paper. By obtaining target echoes from each antenna, the detector based on generalized likelihood ratio test (GLRT) is developed. It shows that the shape parameter of clutter, Doppler mismatches and antenna configurations of MIMO radar heavily affect the performance of GLRT detector. Therefore, the detection performance is respectively analysed with different shape parameters and Doppler mismatches. By using maximum likelihood estimation (MLE), the detection curves with typical parameters are presented to illustrate that the proposed detector outperforms that obtained in Gaussian clutter. Then, the detection performance is discussed with different antenna configurations. Mathematical analysis and simulation results show that the detection performance reaches the best when the numbers of transmitters and receivers are equal, which provides reference for the antenna configuration of MIMO radar.","PeriodicalId":430241,"journal":{"name":"2017 18th International Radar Symposium (IRS)","volume":"336 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 18th International Radar Symposium (IRS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/IRS.2017.8008237","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Multiple-input multiple-output (MIMO) radars with wideband signals are useful to discriminate target in clutter. With wideband MIMO radar, the problem of extended target detection in compound-Gaussian clutter is considered in this paper. By obtaining target echoes from each antenna, the detector based on generalized likelihood ratio test (GLRT) is developed. It shows that the shape parameter of clutter, Doppler mismatches and antenna configurations of MIMO radar heavily affect the performance of GLRT detector. Therefore, the detection performance is respectively analysed with different shape parameters and Doppler mismatches. By using maximum likelihood estimation (MLE), the detection curves with typical parameters are presented to illustrate that the proposed detector outperforms that obtained in Gaussian clutter. Then, the detection performance is discussed with different antenna configurations. Mathematical analysis and simulation results show that the detection performance reaches the best when the numbers of transmitters and receivers are equal, which provides reference for the antenna configuration of MIMO radar.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
复合高斯杂波下基于GLRT的MIMO雷达扩展目标检测
多输入多输出(MIMO)雷达具有宽带信号,可用于杂波环境下的目标识别。本文研究了宽带MIMO雷达在复合高斯杂波条件下的扩展目标检测问题。通过获取各天线的目标回波,研制了基于广义似然比检验(GLRT)的探测器。这表明杂乱的形状参数,MIMO雷达的多普勒不匹配和天线配置严重影响GLRT检测器的性能。因此,分别分析了不同形状参数和多普勒失配情况下的检测性能。利用极大似然估计(MLE)给出了典型参数下的检测曲线,表明该检测器优于高斯杂波下的检测曲线。然后,讨论了不同天线配置下的检测性能。数学分析和仿真结果表明,当发射器和接收器数量相等时,探测性能达到最佳,为MIMO雷达的天线配置提供参考。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Maritime Moving Target Indication and localisation with GNSS-based multistatic radar: Experimental proof of concept Ghost target identification by analysis of the Doppler distribution in automotive scenarios Passive components technology for THz-Monolithic Integrated Circuits (THz-MIC) Compressive sensing of up-sampled model and atomic norm for super-resolution radar Real-time capability of meteotsunami detection by WERA ocean radar system
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1