{"title":"超分辨ISAR成像的统计松弛法","authors":"Long Zhang, X. He","doi":"10.1109/ICSPS.2010.5555617","DOIUrl":null,"url":null,"abstract":"An effective statistical method of detecting the scatterers center for super-resolution ISAR imaging is presented. By exploiting the statistics of background noise and clutters, Gaussianity test(GT) is applied to extract the scatterers center in range cells under desired constant false alarm rate(CFAR). Combined with extended Relax algorithm, super resolution ISAR image of target is generated. Theoretical analysis and experimental results of real data show that proposed method exhibit better performance with expected to conventional high resolution method.","PeriodicalId":234084,"journal":{"name":"2010 2nd International Conference on Signal Processing Systems","volume":"14 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Stistical relax method for super resolution ISAR imaging\",\"authors\":\"Long Zhang, X. He\",\"doi\":\"10.1109/ICSPS.2010.5555617\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"An effective statistical method of detecting the scatterers center for super-resolution ISAR imaging is presented. By exploiting the statistics of background noise and clutters, Gaussianity test(GT) is applied to extract the scatterers center in range cells under desired constant false alarm rate(CFAR). Combined with extended Relax algorithm, super resolution ISAR image of target is generated. Theoretical analysis and experimental results of real data show that proposed method exhibit better performance with expected to conventional high resolution method.\",\"PeriodicalId\":234084,\"journal\":{\"name\":\"2010 2nd International Conference on Signal Processing Systems\",\"volume\":\"14 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-07-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 2nd International Conference on Signal Processing Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICSPS.2010.5555617\",\"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 Conference on Signal Processing Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSPS.2010.5555617","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Stistical relax method for super resolution ISAR imaging
An effective statistical method of detecting the scatterers center for super-resolution ISAR imaging is presented. By exploiting the statistics of background noise and clutters, Gaussianity test(GT) is applied to extract the scatterers center in range cells under desired constant false alarm rate(CFAR). Combined with extended Relax algorithm, super resolution ISAR image of target is generated. Theoretical analysis and experimental results of real data show that proposed method exhibit better performance with expected to conventional high resolution method.
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