{"title":"On the use of expert reasoning to enhance GLRT performance","authors":"M. Wicks","doi":"10.1109/NAECON.2017.8268791","DOIUrl":null,"url":null,"abstract":"This paper presents the use of tailored covariance matrix estimates that may differ for the three components of the GLRT. These components are an adaptive filter and two different quadratic forms that function as a limiter and a detector. Expert reasoning is used to optimize the covariance matrix in each component.","PeriodicalId":306091,"journal":{"name":"2017 IEEE National Aerospace and Electronics Conference (NAECON)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE National Aerospace and Electronics Conference (NAECON)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NAECON.2017.8268791","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
This paper presents the use of tailored covariance matrix estimates that may differ for the three components of the GLRT. These components are an adaptive filter and two different quadratic forms that function as a limiter and a detector. Expert reasoning is used to optimize the covariance matrix in each component.
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