{"title":"A method of 3-D scattering center extraction based on ISAR images","authors":"Shan Cui, Sheng Li, Hua Yan","doi":"10.1109/ICEICT.2016.7879735","DOIUrl":null,"url":null,"abstract":"Scattering center extraction is the key content in the study of the characteristics of radar target. In this paper, a method based on 2-D data of inverse synthetic aperture radar (ISAR) images is proposed. The wide azimuthal aperture at a single elevation is divided into subapertures, taking advantage of the sparse decomposition and basis pursuit denoising (BPDN) algorithm, the method extracts the 2-D points from different subapertures and makes vectorial resultant, meanwhile to evaluate veracity of the regenerated signal. The method maps these 2-D points to the ground plane to get the trajectory chart of scatterers, and Hough transformation can help to extract 3-D scattering centers of target. The reconstruction is realized by the simulation.","PeriodicalId":224387,"journal":{"name":"2016 IEEE International Conference on Electronic Information and Communication Technology (ICEICT)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE International Conference on Electronic Information and Communication Technology (ICEICT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICEICT.2016.7879735","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
Scattering center extraction is the key content in the study of the characteristics of radar target. In this paper, a method based on 2-D data of inverse synthetic aperture radar (ISAR) images is proposed. The wide azimuthal aperture at a single elevation is divided into subapertures, taking advantage of the sparse decomposition and basis pursuit denoising (BPDN) algorithm, the method extracts the 2-D points from different subapertures and makes vectorial resultant, meanwhile to evaluate veracity of the regenerated signal. The method maps these 2-D points to the ground plane to get the trajectory chart of scatterers, and Hough transformation can help to extract 3-D scattering centers of target. The reconstruction is realized by the simulation.
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