{"title":"基于内禀啁啾分量分解的SAR宽带干扰抑制","authors":"Wenchang Han, Shiguo Mei, Weiwei Fan, Tian Tian, Feng Zhou","doi":"10.23919/URSIGASS51995.2021.9560369","DOIUrl":null,"url":null,"abstract":"The wideband interferences (WBIs) seriously degrade the quality of the synthetic aperture radar (SAR) image. Since the WBI occupies a larger bandwidth, it is difficult to mitigate it. Some existing WBI mitigation methods based on transform-domain analysis or filter design suffer from model mismatch and signal loss. In order to solve this problem, a method based on instantaneous frequency (IF) estimation and intrinsic chirp component decomposition (ICCD) is proposed to suppress WBI in this paper. First, a WBI-contaminated SAR echo is represented in the time-frequency domain by using the short-time Fourier transform (STFT). Then, the IF estimation is carried out for the WBI components. Finally, the WBI is extracted by using the ICCD. The experimental results verify the effectiveness of the proposed method.","PeriodicalId":152047,"journal":{"name":"2021 XXXIVth General Assembly and Scientific Symposium of the International Union of Radio Science (URSI GASS)","volume":"47 4","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Wideband Interference Mitigation for SAR Based on Intrinsic Chirp Component Decomposition\",\"authors\":\"Wenchang Han, Shiguo Mei, Weiwei Fan, Tian Tian, Feng Zhou\",\"doi\":\"10.23919/URSIGASS51995.2021.9560369\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The wideband interferences (WBIs) seriously degrade the quality of the synthetic aperture radar (SAR) image. Since the WBI occupies a larger bandwidth, it is difficult to mitigate it. Some existing WBI mitigation methods based on transform-domain analysis or filter design suffer from model mismatch and signal loss. In order to solve this problem, a method based on instantaneous frequency (IF) estimation and intrinsic chirp component decomposition (ICCD) is proposed to suppress WBI in this paper. First, a WBI-contaminated SAR echo is represented in the time-frequency domain by using the short-time Fourier transform (STFT). Then, the IF estimation is carried out for the WBI components. Finally, the WBI is extracted by using the ICCD. The experimental results verify the effectiveness of the proposed method.\",\"PeriodicalId\":152047,\"journal\":{\"name\":\"2021 XXXIVth General Assembly and Scientific Symposium of the International Union of Radio Science (URSI GASS)\",\"volume\":\"47 4\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-08-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 XXXIVth General Assembly and Scientific Symposium of the International Union of Radio Science (URSI GASS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.23919/URSIGASS51995.2021.9560369\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 XXXIVth General Assembly and Scientific Symposium of the International Union of Radio Science (URSI GASS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/URSIGASS51995.2021.9560369","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Wideband Interference Mitigation for SAR Based on Intrinsic Chirp Component Decomposition
The wideband interferences (WBIs) seriously degrade the quality of the synthetic aperture radar (SAR) image. Since the WBI occupies a larger bandwidth, it is difficult to mitigate it. Some existing WBI mitigation methods based on transform-domain analysis or filter design suffer from model mismatch and signal loss. In order to solve this problem, a method based on instantaneous frequency (IF) estimation and intrinsic chirp component decomposition (ICCD) is proposed to suppress WBI in this paper. First, a WBI-contaminated SAR echo is represented in the time-frequency domain by using the short-time Fourier transform (STFT). Then, the IF estimation is carried out for the WBI components. Finally, the WBI is extracted by using the ICCD. The experimental results verify the effectiveness of the proposed method.