Joint domain localized processing using measured spatial steering vectors

R. Adve, M. Wicks
{"title":"Joint domain localized processing using measured spatial steering vectors","authors":"R. Adve, M. Wicks","doi":"10.1109/NRC.1998.677995","DOIUrl":null,"url":null,"abstract":"The joint domain localized (JDL) adaptive processing algorithm mitigates interference in a localized processing region in the angle-Doppler domain. Spatial and temporal steering vectors transform the data collected in the space-time domain to the angle-Doppler domain. However, the JDL algorithm depends on the assumption that the spatial and temporal steering vectors form an orthogonal set. In practice, due to the mutual coupling between antenna elements, the spatial steering vectors do not form an orthogonal set. This paper presents a modification of the JDL algorithm to account for the non-orthogonality of these steering vectors. Examples from the multichannel airborne radar measurement (MCARM) database demonstrate the improvement in detection capability.","PeriodicalId":432418,"journal":{"name":"Proceedings of the 1998 IEEE Radar Conference, RADARCON'98. Challenges in Radar Systems and Solutions (Cat. No.98CH36197)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1998-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 1998 IEEE Radar Conference, RADARCON'98. Challenges in Radar Systems and Solutions (Cat. No.98CH36197)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NRC.1998.677995","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 10

Abstract

The joint domain localized (JDL) adaptive processing algorithm mitigates interference in a localized processing region in the angle-Doppler domain. Spatial and temporal steering vectors transform the data collected in the space-time domain to the angle-Doppler domain. However, the JDL algorithm depends on the assumption that the spatial and temporal steering vectors form an orthogonal set. In practice, due to the mutual coupling between antenna elements, the spatial steering vectors do not form an orthogonal set. This paper presents a modification of the JDL algorithm to account for the non-orthogonality of these steering vectors. Examples from the multichannel airborne radar measurement (MCARM) database demonstrate the improvement in detection capability.
利用测量的空间导向向量进行关节域定位处理
联合域局部化(JDL)自适应处理算法减轻了角多普勒域局部化处理区域的干扰。空间和时间方向矢量将在空时域采集的数据转换为角度多普勒域。然而,JDL算法依赖于空间和时间方向向量形成正交集的假设。在实际应用中,由于天线单元之间的相互耦合,空间转向矢量不形成正交集。本文提出了一种改进的JDL算法来考虑这些转向向量的非正交性。多通道机载雷达测量(MCARM)数据库的实例证明了检测能力的提高。
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:481959085
Book学术官方微信