Underdetermined DOA Estimation of LFM Signals

Zhou-hua Zhu, Lu Shun-jun, Zhang Er-yang, L. Yaomin
{"title":"Underdetermined DOA Estimation of LFM Signals","authors":"Zhou-hua Zhu, Lu Shun-jun, Zhang Er-yang, L. Yaomin","doi":"10.1109/IMCCC.2012.209","DOIUrl":null,"url":null,"abstract":"A method is proposed to separate received LFM signals on underdetermined hypothesis. In which the sensors is less then the signals to be separated. As LFM signal belongs to nonstationary signal, the proposed method is based on Time Frequency Distribution (TFD) analysis. Through suppressing the cross term of the TFD, auto term become prominent. A rotation way utilizing the auto term points is presented, by which the TFD area of each LFM signal is classified. Using the STFD matrices corresponding to the auto term points, the Direction Of Arrival (DOA) of each LFM signal can be estimated individually. Through simulation, it is proved that the proposed method is effective.","PeriodicalId":394548,"journal":{"name":"2012 Second International Conference on Instrumentation, Measurement, Computer, Communication and Control","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 Second International Conference on Instrumentation, Measurement, Computer, Communication and Control","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IMCCC.2012.209","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

Abstract

A method is proposed to separate received LFM signals on underdetermined hypothesis. In which the sensors is less then the signals to be separated. As LFM signal belongs to nonstationary signal, the proposed method is based on Time Frequency Distribution (TFD) analysis. Through suppressing the cross term of the TFD, auto term become prominent. A rotation way utilizing the auto term points is presented, by which the TFD area of each LFM signal is classified. Using the STFD matrices corresponding to the auto term points, the Direction Of Arrival (DOA) of each LFM signal can be estimated individually. Through simulation, it is proved that the proposed method is effective.
LFM信号的欠定DOA估计
提出了一种基于欠确定假设的LFM信号分离方法。其中传感器较少,则信号被分离。由于LFM信号属于非平稳信号,该方法基于时频分布(TFD)分析。通过抑制TFD的交叉项,使自项变得突出。提出了一种利用自动项点的旋转方法,通过该方法对每个LFM信号的TFD区域进行分类。利用自动项点对应的STFD矩阵,可以单独估计每个LFM信号的到达方向(DOA)。通过仿真验证了该方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
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:604180095
Book学术官方微信