{"title":"威布尔背景下m脉冲CA-CFAR分析的新方法","authors":"Liu Weixian, J. Fu","doi":"10.1109/RADAR.2000.851886","DOIUrl":null,"url":null,"abstract":"The Weibull clutter model offers the potential to accurately represent the real clutter distribution over a much wider range of conditions than other models. Schleher introduced a method to analyze the performance of radar detection in a Weibull background, but when considering M-pulses, the joint probability density function (PDF) becomes tediously long even as the samples are independent and identically distributed (IID). In this paper, a new way for estimation of the performance of CA-CFAR is developed as well as some other important results are provided.","PeriodicalId":286281,"journal":{"name":"Record of the IEEE 2000 International Radar Conference [Cat. No. 00CH37037]","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2000-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"A new method for analysis of M-pulses CA-CFAR in Weibull background\",\"authors\":\"Liu Weixian, J. Fu\",\"doi\":\"10.1109/RADAR.2000.851886\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The Weibull clutter model offers the potential to accurately represent the real clutter distribution over a much wider range of conditions than other models. Schleher introduced a method to analyze the performance of radar detection in a Weibull background, but when considering M-pulses, the joint probability density function (PDF) becomes tediously long even as the samples are independent and identically distributed (IID). In this paper, a new way for estimation of the performance of CA-CFAR is developed as well as some other important results are provided.\",\"PeriodicalId\":286281,\"journal\":{\"name\":\"Record of the IEEE 2000 International Radar Conference [Cat. No. 00CH37037]\",\"volume\":\"16 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2000-05-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Record of the IEEE 2000 International Radar Conference [Cat. No. 00CH37037]\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/RADAR.2000.851886\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Record of the IEEE 2000 International Radar Conference [Cat. No. 00CH37037]","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RADAR.2000.851886","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A new method for analysis of M-pulses CA-CFAR in Weibull background
The Weibull clutter model offers the potential to accurately represent the real clutter distribution over a much wider range of conditions than other models. Schleher introduced a method to analyze the performance of radar detection in a Weibull background, but when considering M-pulses, the joint probability density function (PDF) becomes tediously long even as the samples are independent and identically distributed (IID). In this paper, a new way for estimation of the performance of CA-CFAR is developed as well as some other important results are provided.
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