{"title":"基于k分布的高灵敏度数字雷达杂波处理","authors":"L. Osadciw, J.F. Slocum","doi":"10.1109/NRC.2002.999725","DOIUrl":null,"url":null,"abstract":"This paper presents a unique false alarm mitigation approach for nonhomogeneous clutter, which is problematic for digital radars with increased sensitivity. A clutter map is formed containing estimates of the two parameters for the K-distribution. The map applies the new thresholds to the data. The false alarm rate is reduced by a factor of 1000 due to the improved accuracy in modeling the clutter distribution tail.","PeriodicalId":448055,"journal":{"name":"Proceedings of the 2002 IEEE Radar Conference (IEEE Cat. No.02CH37322)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2002-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":"{\"title\":\"Clutter processing using K-distributions for digital radars with increased sensitivity\",\"authors\":\"L. Osadciw, J.F. Slocum\",\"doi\":\"10.1109/NRC.2002.999725\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a unique false alarm mitigation approach for nonhomogeneous clutter, which is problematic for digital radars with increased sensitivity. A clutter map is formed containing estimates of the two parameters for the K-distribution. The map applies the new thresholds to the data. The false alarm rate is reduced by a factor of 1000 due to the improved accuracy in modeling the clutter distribution tail.\",\"PeriodicalId\":448055,\"journal\":{\"name\":\"Proceedings of the 2002 IEEE Radar Conference (IEEE Cat. No.02CH37322)\",\"volume\":\"28 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2002-08-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"9\",\"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.2002.999725\",\"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 of the 2002 IEEE Radar Conference (IEEE Cat. No.02CH37322)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NRC.2002.999725","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Clutter processing using K-distributions for digital radars with increased sensitivity
This paper presents a unique false alarm mitigation approach for nonhomogeneous clutter, which is problematic for digital radars with increased sensitivity. A clutter map is formed containing estimates of the two parameters for the K-distribution. The map applies the new thresholds to the data. The false alarm rate is reduced by a factor of 1000 due to the improved accuracy in modeling the clutter distribution tail.
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