L. Cai, Xiaochuan Ma, Shefeng Yan, C. Hao, Rongbo Wang
{"title":"非高斯背景下模糊CAGO/SO CFAR检测器的分析","authors":"L. Cai, Xiaochuan Ma, Shefeng Yan, C. Hao, Rongbo Wang","doi":"10.1109/IWISA.2010.5473461","DOIUrl":null,"url":null,"abstract":"In order to improve radar's detection performance under non-Gaussian background clutter. We design a new distributed fuzzy CAGO/SO-CFAR detection system including two sensors. Both sensors compute the value of the membership function mapping to the false alarm space according to the samples of the reference cells, in the fusion centre two values are combined according to four kinds of fusion rule to estimate the background clutter power. The simulation results prove the detection improvement of CASO based on algebraic-sum rule under multi-target environment, and present better false-alarm-control capacity of CAGO based on MIN rule under clutter-edge environment.","PeriodicalId":298764,"journal":{"name":"2010 2nd International Workshop on Intelligent Systems and Applications","volume":"74 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"13","resultStr":"{\"title\":\"Some Analysis of Fuzzy CAGO/SO CFAR Detector in Non-Gaussian Background\",\"authors\":\"L. Cai, Xiaochuan Ma, Shefeng Yan, C. Hao, Rongbo Wang\",\"doi\":\"10.1109/IWISA.2010.5473461\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In order to improve radar's detection performance under non-Gaussian background clutter. We design a new distributed fuzzy CAGO/SO-CFAR detection system including two sensors. Both sensors compute the value of the membership function mapping to the false alarm space according to the samples of the reference cells, in the fusion centre two values are combined according to four kinds of fusion rule to estimate the background clutter power. The simulation results prove the detection improvement of CASO based on algebraic-sum rule under multi-target environment, and present better false-alarm-control capacity of CAGO based on MIN rule under clutter-edge environment.\",\"PeriodicalId\":298764,\"journal\":{\"name\":\"2010 2nd International Workshop on Intelligent Systems and Applications\",\"volume\":\"74 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-05-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"13\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 2nd International Workshop on Intelligent Systems and Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IWISA.2010.5473461\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 2nd International Workshop on Intelligent Systems and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IWISA.2010.5473461","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Some Analysis of Fuzzy CAGO/SO CFAR Detector in Non-Gaussian Background
In order to improve radar's detection performance under non-Gaussian background clutter. We design a new distributed fuzzy CAGO/SO-CFAR detection system including two sensors. Both sensors compute the value of the membership function mapping to the false alarm space according to the samples of the reference cells, in the fusion centre two values are combined according to four kinds of fusion rule to estimate the background clutter power. The simulation results prove the detection improvement of CASO based on algebraic-sum rule under multi-target environment, and present better false-alarm-control capacity of CAGO based on MIN rule under clutter-edge environment.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
