模糊平面上检测器的最优性

Ç. Candan
{"title":"模糊平面上检测器的最优性","authors":"Ç. Candan","doi":"10.1109/RADAR.2009.4977089","DOIUrl":null,"url":null,"abstract":"We study the detectors based on the ambiguity function. These detectors have been shown to be useful for the detection of linear frequency modulated (LFM) signals in the literature. We show that the detectors based on the projection of the cross-ambiguity surface are optimal for the detection of non-fluctuating targets in the Bayesian sense. The given optimality property strengthens the earlier results in the literature and enables us to compare different classes of detectors.","PeriodicalId":346898,"journal":{"name":"2009 IEEE Radar Conference","volume":"7 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"On the optimality of detectors defined over the ambiguity plane\",\"authors\":\"Ç. Candan\",\"doi\":\"10.1109/RADAR.2009.4977089\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We study the detectors based on the ambiguity function. These detectors have been shown to be useful for the detection of linear frequency modulated (LFM) signals in the literature. We show that the detectors based on the projection of the cross-ambiguity surface are optimal for the detection of non-fluctuating targets in the Bayesian sense. The given optimality property strengthens the earlier results in the literature and enables us to compare different classes of detectors.\",\"PeriodicalId\":346898,\"journal\":{\"name\":\"2009 IEEE Radar Conference\",\"volume\":\"7 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-05-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 IEEE Radar Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/RADAR.2009.4977089\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 IEEE Radar Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RADAR.2009.4977089","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

我们研究了基于模糊函数的检测器。这些检测器已被证明是有用的检测线性调频(LFM)信号在文献中。我们证明了基于交叉模糊曲面投影的检测器在贝叶斯意义上最适合检测非波动目标。给定的最优性性质加强了文献中早期的结果,并使我们能够比较不同类别的检测器。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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
On the optimality of detectors defined over the ambiguity plane
We study the detectors based on the ambiguity function. These detectors have been shown to be useful for the detection of linear frequency modulated (LFM) signals in the literature. We show that the detectors based on the projection of the cross-ambiguity surface are optimal for the detection of non-fluctuating targets in the Bayesian sense. The given optimality property strengthens the earlier results in the literature and enables us to compare different classes of detectors.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
From AESA radar to digital radar for surface-based applications Waveform design for distributed aperture in through-the-wall radar Development of a FPGA-based high speed FFT processor for wideband Direction of Arrival applications Developments in the Frequency Diverse Bistatic System Multi-wavelength impacts on coastal radar performance during a sea breeze
×
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