{"title":"A Novel Circular Convolution Imaging Algorithm Based on Compressed Sensing for CSAR","authors":"Shujie Mu","doi":"10.1109/ICOCN53177.2021.9563900","DOIUrl":null,"url":null,"abstract":"To solve the problem of low efficiency in wavenumber domain imaging of circular synthetic aperture radar (CSAR), a novel circular convolution algorithm based on compressed sensing is proposed, which can avoid the complex calculation in by compressed sensing algorithm and the simulation results show that the algorithm can effectively improve the imaging quality.","PeriodicalId":6756,"journal":{"name":"2021 19th International Conference on Optical Communications and Networks (ICOCN)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2021-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 19th International Conference on Optical Communications and Networks (ICOCN)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICOCN53177.2021.9563900","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
To solve the problem of low efficiency in wavenumber domain imaging of circular synthetic aperture radar (CSAR), a novel circular convolution algorithm based on compressed sensing is proposed, which can avoid the complex calculation in by compressed sensing algorithm and the simulation results show that the algorithm can effectively improve the imaging quality.
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