Adaptive detection performance of principal components inverse, cross spectral metric and the partially adaptive multistage Wiener filter

B. Freburger, D. Tufts
{"title":"Adaptive detection performance of principal components inverse, cross spectral metric and the partially adaptive multistage Wiener filter","authors":"B. Freburger, D. Tufts","doi":"10.1109/ACSSC.1998.751581","DOIUrl":null,"url":null,"abstract":"This paper compares the small sample adaptive detection performance of the principal component inverse (PCI) method with the newer cross spectral metric (CSM) and partially adaptive multistage Wiener filter for the partially adaptive sidelobe canceller. By examining properties of the estimated metrics, scenarios which will result in poor performance can be identified, providing insight on the best choice of method for a given application.","PeriodicalId":393743,"journal":{"name":"Conference Record of Thirty-Second Asilomar Conference on Signals, Systems and Computers (Cat. No.98CH36284)","volume":"121 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1998-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Conference Record of Thirty-Second Asilomar Conference on Signals, Systems and Computers (Cat. No.98CH36284)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ACSSC.1998.751581","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5

Abstract

This paper compares the small sample adaptive detection performance of the principal component inverse (PCI) method with the newer cross spectral metric (CSM) and partially adaptive multistage Wiener filter for the partially adaptive sidelobe canceller. By examining properties of the estimated metrics, scenarios which will result in poor performance can be identified, providing insight on the best choice of method for a given application.
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
主成分逆、交叉谱度量和部分自适应多级维纳滤波器的自适应检测性能
本文将主成分逆(PCI)法的小样本自适应检测性能与较新的交叉谱度量法(CSM)和部分自适应多级维纳滤波器用于部分自适应副瓣对消器进行了比较。通过检查估计的度量的属性,可以识别将导致性能差的场景,从而为给定应用程序提供最佳方法选择。
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
Turbo multiuser detection Optimal joint azimuth-elevation and signal-array response estimation using parallel factor analysis Adaptive sidelobe blanker: a novel method of performance evaluation and threshold setting in the presence of inhomogeneous clutter Optimal architectures for massively parallel implementation of hard real-time beamformers Low complexity M-hypotheses detection: M vectors case
×
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