Angular information resolution from co-prime arrays in radar

R. Pribic
{"title":"Angular information resolution from co-prime arrays in radar","authors":"R. Pribic","doi":"10.1109/EUSIPCO.2015.7362903","DOIUrl":null,"url":null,"abstract":"Angular resolution can be improved by using co-prime arrays instead of uniform linear arrays (ULA) with the same number of elements. We investigate how the possible co-prime angle resolution is related to the angle resolution from a full ULA of the size equal to the virtual size of co-prime arrays. We take into account not only the resulting beam width but also the fact that fewer measurements are acquired by co-prime arrays. This fact is especially relevant in compressive acquisition typical for compressive sensing. This angular resolution is called angular information resolution as it is computed from the intrinsic geometrical structure of data models that is characterized by the Fisher information. Based on this information-geometry approach, we compare angular information resolution from co-prime arrays and from the two ULAs. This novel resolution analysis is applied in a one-dimensional azimuth case. Numerical results demonstrate the suitability in radar-resolution analysis.","PeriodicalId":401040,"journal":{"name":"2015 23rd European Signal Processing Conference (EUSIPCO)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 23rd European Signal Processing Conference (EUSIPCO)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EUSIPCO.2015.7362903","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

Angular resolution can be improved by using co-prime arrays instead of uniform linear arrays (ULA) with the same number of elements. We investigate how the possible co-prime angle resolution is related to the angle resolution from a full ULA of the size equal to the virtual size of co-prime arrays. We take into account not only the resulting beam width but also the fact that fewer measurements are acquired by co-prime arrays. This fact is especially relevant in compressive acquisition typical for compressive sensing. This angular resolution is called angular information resolution as it is computed from the intrinsic geometrical structure of data models that is characterized by the Fisher information. Based on this information-geometry approach, we compare angular information resolution from co-prime arrays and from the two ULAs. This novel resolution analysis is applied in a one-dimensional azimuth case. Numerical results demonstrate the suitability in radar-resolution analysis.
雷达共素数阵列的角信息分辨率
采用同素数阵列代替具有相同单元数的均匀线性阵列(ULA)可以提高角分辨率。我们研究了可能的共素数角分辨率如何与大小等于共素数阵列的虚拟大小的完整ULA的角度分辨率相关。我们不仅考虑了产生的波束宽度,而且还考虑了共素数阵列获得的测量量较少的事实。这一事实在压缩感知的压缩采集中尤为重要。这种角度分辨率称为角度信息分辨率,因为它是从数据模型的固有几何结构中计算出来的,该几何结构以费雪信息为特征。基于这种信息几何方法,我们比较了共素数阵列和两个ula的角信息分辨率。这种新颖的分辨率分析方法应用于一维方位角情况。数值结果表明了该方法在雷达分辨率分析中的适用性。
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