I. Prokopenko, V. Vovk, K. Prokopenko, N. Babanska
{"title":"回波信号分布的非高斯特性在运动目标检测系统中的应用","authors":"I. Prokopenko, V. Vovk, K. Prokopenko, N. Babanska","doi":"10.1109/IRS.2016.7497298","DOIUrl":null,"url":null,"abstract":"In this paper we developed algorithm for detection non-Gaussianity of the signal and noise mixture. Noise at a radar receiver input has Gaussian distribution, but mixture of noise and useful signal tends to be non-Gaussian. Thus, presence of useful echo signal in the mixture can be detected with use of the proposed algorithm. Further processing in moving target detection system allows distinguishing between echo signals from stationary targets and moving ones.","PeriodicalId":346680,"journal":{"name":"2016 17th International Radar Symposium (IRS)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"The use of non-Gaussian character of echo signal distribution in moving target detection systems\",\"authors\":\"I. Prokopenko, V. Vovk, K. Prokopenko, N. Babanska\",\"doi\":\"10.1109/IRS.2016.7497298\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper we developed algorithm for detection non-Gaussianity of the signal and noise mixture. Noise at a radar receiver input has Gaussian distribution, but mixture of noise and useful signal tends to be non-Gaussian. Thus, presence of useful echo signal in the mixture can be detected with use of the proposed algorithm. Further processing in moving target detection system allows distinguishing between echo signals from stationary targets and moving ones.\",\"PeriodicalId\":346680,\"journal\":{\"name\":\"2016 17th International Radar Symposium (IRS)\",\"volume\":\"46 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-05-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 17th International Radar Symposium (IRS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IRS.2016.7497298\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 17th International Radar Symposium (IRS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IRS.2016.7497298","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The use of non-Gaussian character of echo signal distribution in moving target detection systems
In this paper we developed algorithm for detection non-Gaussianity of the signal and noise mixture. Noise at a radar receiver input has Gaussian distribution, but mixture of noise and useful signal tends to be non-Gaussian. Thus, presence of useful echo signal in the mixture can be detected with use of the proposed algorithm. Further processing in moving target detection system allows distinguishing between echo signals from stationary targets and moving ones.