{"title":"高分辨率雷达杂波分类","authors":"V. Anastassopoulos, G. Lampropoulos","doi":"10.1109/RADAR.1995.522628","DOIUrl":null,"url":null,"abstract":"Classification of high resolution radar echoes is carried out using the generalized compound probability density function (GC-pdf). The system noise, usually referred to as thermal noise, is incorporated in the model. The classification procedure comprises the estimation of the parameters of the GC-pdf. The classification vector is properly formed to indicate special cases of the GC-pdf and to choose existing CFAR detectors.","PeriodicalId":326587,"journal":{"name":"Proceedings International Radar Conference","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1995-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"20","resultStr":"{\"title\":\"High resolution radar clutter classification\",\"authors\":\"V. Anastassopoulos, G. Lampropoulos\",\"doi\":\"10.1109/RADAR.1995.522628\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Classification of high resolution radar echoes is carried out using the generalized compound probability density function (GC-pdf). The system noise, usually referred to as thermal noise, is incorporated in the model. The classification procedure comprises the estimation of the parameters of the GC-pdf. The classification vector is properly formed to indicate special cases of the GC-pdf and to choose existing CFAR detectors.\",\"PeriodicalId\":326587,\"journal\":{\"name\":\"Proceedings International Radar Conference\",\"volume\":\"9 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1995-05-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"20\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings International Radar Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/RADAR.1995.522628\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings International Radar Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RADAR.1995.522628","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Classification of high resolution radar echoes is carried out using the generalized compound probability density function (GC-pdf). The system noise, usually referred to as thermal noise, is incorporated in the model. The classification procedure comprises the estimation of the parameters of the GC-pdf. The classification vector is properly formed to indicate special cases of the GC-pdf and to choose existing CFAR detectors.
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