{"title":"Image formation algorithm for wide-coverage spaceborne/airborne hybrid bistatic SAR","authors":"Zhe Liu, Jianyu Yang, Xiaoling Zhang","doi":"10.1109/ICCCAS.2010.5581959","DOIUrl":null,"url":null,"abstract":"To efficiently realize high-precision imaging for spaceobrne/airborne hybrid bistatic SAR (SA-BSAR) in wide-coverage case, a space-variant range cell migration (RCM) compensation method, which is based on SA-BSAR's two-dimensional space-variant RCM model, is proposed in this paper. In this method, Inverse Scaled Fourier Transform with variant scaling factors (ISFT-v) and block division technique are collaborated. Accordingly, a high precision and computationally efficient frequency-domain imaging algorithm based on this RCM compensation method is developed. The imaging algorithm is validated with wide-coverage point targets simulation.","PeriodicalId":199950,"journal":{"name":"2010 International Conference on Communications, Circuits and Systems (ICCCAS)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 International Conference on Communications, Circuits and Systems (ICCCAS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCCAS.2010.5581959","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
To efficiently realize high-precision imaging for spaceobrne/airborne hybrid bistatic SAR (SA-BSAR) in wide-coverage case, a space-variant range cell migration (RCM) compensation method, which is based on SA-BSAR's two-dimensional space-variant RCM model, is proposed in this paper. In this method, Inverse Scaled Fourier Transform with variant scaling factors (ISFT-v) and block division technique are collaborated. Accordingly, a high precision and computationally efficient frequency-domain imaging algorithm based on this RCM compensation method is developed. The imaging algorithm is validated with wide-coverage point targets simulation.