{"title":"Efficient determination of thresholds via importance sampling for Monte Carlo evaluation of radar performance in non-Gaussian clutter","authors":"D. L. Stadelman, D. Weiner, A. D. Keckler","doi":"10.1109/NRC.2002.999731","DOIUrl":null,"url":null,"abstract":"An efficient importance sampling simulation method is presented for estimating the thresholds to achieve very low probabilities of false alarm for radar receivers in clutter modeled as a non-Gaussian, spherically invariant random vector. Thresholds at false alarm probabilities of 10/sup -6/ and lower are estimated with only 10,000 trials for both known and unknown clutter covariance matrix cases.","PeriodicalId":448055,"journal":{"name":"Proceedings of the 2002 IEEE Radar Conference (IEEE Cat. No.02CH37322)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2002-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2002 IEEE Radar Conference (IEEE Cat. No.02CH37322)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NRC.2002.999731","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7
Abstract
An efficient importance sampling simulation method is presented for estimating the thresholds to achieve very low probabilities of false alarm for radar receivers in clutter modeled as a non-Gaussian, spherically invariant random vector. Thresholds at false alarm probabilities of 10/sup -6/ and lower are estimated with only 10,000 trials for both known and unknown clutter covariance matrix cases.
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