{"title":"利用非负矩阵分解法校正SAR数据中的超宽带射频干扰","authors":"Mingliang Tao, Feng Zhou","doi":"10.23919/URSIGASS.2017.8104493","DOIUrl":null,"url":null,"abstract":"Radio frequency interference (RFI) is a major issue for synthetic aperture radar (SAR), and would affect the image quality and image interpretation. The majority of existing methods are applied on each azimuth echoes along range direction with the assumption that bandwidth of RFI is less than that of SAR. However, if SAR echoes are contaminated by ultra wide-band RFI, i.e., the bandwidth of RFI is relatively larger than the transmitted signal, traditional methods would fail due to large signal loss. In this paper, we discussed the characteristics of ultra wide-band RFI, and proposed a mitigation method using nonnegative matrix factorization along azimuth direction. The experimental results indicate the effectiveness of the proposed method.","PeriodicalId":377869,"journal":{"name":"2017 XXXIInd General Assembly and Scientific Symposium of the International Union of Radio Science (URSI GASS)","volume":"461 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Correction of ultra wide-band radio frequency interference in SAR data using nonnegative matrix factorization\",\"authors\":\"Mingliang Tao, Feng Zhou\",\"doi\":\"10.23919/URSIGASS.2017.8104493\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Radio frequency interference (RFI) is a major issue for synthetic aperture radar (SAR), and would affect the image quality and image interpretation. The majority of existing methods are applied on each azimuth echoes along range direction with the assumption that bandwidth of RFI is less than that of SAR. However, if SAR echoes are contaminated by ultra wide-band RFI, i.e., the bandwidth of RFI is relatively larger than the transmitted signal, traditional methods would fail due to large signal loss. In this paper, we discussed the characteristics of ultra wide-band RFI, and proposed a mitigation method using nonnegative matrix factorization along azimuth direction. The experimental results indicate the effectiveness of the proposed method.\",\"PeriodicalId\":377869,\"journal\":{\"name\":\"2017 XXXIInd General Assembly and Scientific Symposium of the International Union of Radio Science (URSI GASS)\",\"volume\":\"461 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 XXXIInd General Assembly and Scientific Symposium of the International Union of Radio Science (URSI GASS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.23919/URSIGASS.2017.8104493\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 XXXIInd General Assembly and Scientific Symposium of the International Union of Radio Science (URSI GASS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/URSIGASS.2017.8104493","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Correction of ultra wide-band radio frequency interference in SAR data using nonnegative matrix factorization
Radio frequency interference (RFI) is a major issue for synthetic aperture radar (SAR), and would affect the image quality and image interpretation. The majority of existing methods are applied on each azimuth echoes along range direction with the assumption that bandwidth of RFI is less than that of SAR. However, if SAR echoes are contaminated by ultra wide-band RFI, i.e., the bandwidth of RFI is relatively larger than the transmitted signal, traditional methods would fail due to large signal loss. In this paper, we discussed the characteristics of ultra wide-band RFI, and proposed a mitigation method using nonnegative matrix factorization along azimuth direction. The experimental results indicate the effectiveness of the proposed method.