{"title":"ISAR Imaging Phase Correction Algorithm Based on Entropy Minimization","authors":"A. Lazarov, C. Kabakchiev, I. Garvanov","doi":"10.1109/spsympo51155.2020.9593884","DOIUrl":null,"url":null,"abstract":"In the present work, an Inverse Synthetic Aperture (ISAR) imaging technique with a phase correction is discussed. Based on discrete geometry of the observed object and linear frequency modulation (LFM) emitted waveform, an ISAR signal model is constructed. An iterative Range-Doppler image reconstruction algorithm with a phase correction of higher order is developed. It includes: signal demodulation and radial motion compensation of object's mass center; 2-D inverse Fourier transformations for image extraction, removing ISAR signal's phases of higher order on azimuth and range directions by multiplication with an exponential term with argument - a polynomial of a second order, and using entropy as an image cost function. The geometry, signal model and image reconstruction algorithm with a higher order signal's phase compensation are illustrated by numerical simulation experiments.","PeriodicalId":380515,"journal":{"name":"2021 Signal Processing Symposium (SPSympo)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 Signal Processing Symposium (SPSympo)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/spsympo51155.2020.9593884","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
In the present work, an Inverse Synthetic Aperture (ISAR) imaging technique with a phase correction is discussed. Based on discrete geometry of the observed object and linear frequency modulation (LFM) emitted waveform, an ISAR signal model is constructed. An iterative Range-Doppler image reconstruction algorithm with a phase correction of higher order is developed. It includes: signal demodulation and radial motion compensation of object's mass center; 2-D inverse Fourier transformations for image extraction, removing ISAR signal's phases of higher order on azimuth and range directions by multiplication with an exponential term with argument - a polynomial of a second order, and using entropy as an image cost function. The geometry, signal model and image reconstruction algorithm with a higher order signal's phase compensation are illustrated by numerical simulation experiments.