{"title":"基于频率样本RSD迭代阈值的多目标CFAR检测器","authors":"M. Buhaiov","doi":"10.1109/UkrMW58013.2022.10036998","DOIUrl":null,"url":null,"abstract":"Detection of multiple targets in high dynamic range and noise varying environment is a great challenge of modern radar techniques. Traditional CFAR algorithms cannot provide reliable detection of all targets in such sophisticated environment. To overcome this drawback we propose detector with iterative thresholding of frequency samples relative standard deviation. Applying proposed approach will ensure reliable detection of multiple targets regardless of dynamic range of signals and noise power.","PeriodicalId":297673,"journal":{"name":"2022 IEEE 2nd Ukrainian Microwave Week (UkrMW)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Multiple Targets CFAR Detector with Iterative Thresholding of Frequency Samples RSD\",\"authors\":\"M. Buhaiov\",\"doi\":\"10.1109/UkrMW58013.2022.10036998\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Detection of multiple targets in high dynamic range and noise varying environment is a great challenge of modern radar techniques. Traditional CFAR algorithms cannot provide reliable detection of all targets in such sophisticated environment. To overcome this drawback we propose detector with iterative thresholding of frequency samples relative standard deviation. Applying proposed approach will ensure reliable detection of multiple targets regardless of dynamic range of signals and noise power.\",\"PeriodicalId\":297673,\"journal\":{\"name\":\"2022 IEEE 2nd Ukrainian Microwave Week (UkrMW)\",\"volume\":\"29 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-11-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 IEEE 2nd Ukrainian Microwave Week (UkrMW)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/UkrMW58013.2022.10036998\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE 2nd Ukrainian Microwave Week (UkrMW)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/UkrMW58013.2022.10036998","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Multiple Targets CFAR Detector with Iterative Thresholding of Frequency Samples RSD
Detection of multiple targets in high dynamic range and noise varying environment is a great challenge of modern radar techniques. Traditional CFAR algorithms cannot provide reliable detection of all targets in such sophisticated environment. To overcome this drawback we propose detector with iterative thresholding of frequency samples relative standard deviation. Applying proposed approach will ensure reliable detection of multiple targets regardless of dynamic range of signals and noise power.