{"title":"严重非均匀环境下最优MTI的自适应实现","authors":"H. Wang, L. Cai","doi":"10.1109/RADAR.1990.201191","DOIUrl":null,"url":null,"abstract":"The problem of achieving the optimum MTI (moving target indicator) detection performance in strong clutter of unknown spectrum when the set of data available for the estimation of clutter statistics is small due to a severely nonhomogeneous environment is studied. A new adaptive implementation, called the Doppler domain localized generalized likelihood ratio processor (DDL-GLR), is proposed, and its detection performance derived. It is shown that the DDL-GLR is a data-efficient implementation of the high-order optimum detector, and that it has several advantages of practical importance over other adaptive processors.<<ETX>>","PeriodicalId":441674,"journal":{"name":"IEEE International Conference on Radar","volume":"36 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1990-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"On adaptive implementation of optimum MTI in severely nonhomogeneous environments\",\"authors\":\"H. Wang, L. Cai\",\"doi\":\"10.1109/RADAR.1990.201191\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The problem of achieving the optimum MTI (moving target indicator) detection performance in strong clutter of unknown spectrum when the set of data available for the estimation of clutter statistics is small due to a severely nonhomogeneous environment is studied. A new adaptive implementation, called the Doppler domain localized generalized likelihood ratio processor (DDL-GLR), is proposed, and its detection performance derived. It is shown that the DDL-GLR is a data-efficient implementation of the high-order optimum detector, and that it has several advantages of practical importance over other adaptive processors.<<ETX>>\",\"PeriodicalId\":441674,\"journal\":{\"name\":\"IEEE International Conference on Radar\",\"volume\":\"36 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1990-05-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE International Conference on Radar\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/RADAR.1990.201191\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE International Conference on Radar","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RADAR.1990.201191","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
On adaptive implementation of optimum MTI in severely nonhomogeneous environments
The problem of achieving the optimum MTI (moving target indicator) detection performance in strong clutter of unknown spectrum when the set of data available for the estimation of clutter statistics is small due to a severely nonhomogeneous environment is studied. A new adaptive implementation, called the Doppler domain localized generalized likelihood ratio processor (DDL-GLR), is proposed, and its detection performance derived. It is shown that the DDL-GLR is a data-efficient implementation of the high-order optimum detector, and that it has several advantages of practical importance over other adaptive processors.<>
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