Superresolution techniques and ISAR imaging

W. Gabriel
{"title":"Superresolution techniques and ISAR imaging","authors":"W. Gabriel","doi":"10.1109/NRC.1989.47614","DOIUrl":null,"url":null,"abstract":"High-resolution optimal estimation techniques are applied to the problem of radar imaging of rotating objects, sometimes referred to as ISAR (inverse synthetic array radar) imaging. Typical digital range-Doppler processing operations are described, utilizing two spectral estimation techniques. Quality ISAR images have been obtained from such processing, and particular examples, which are based on simulated data generated from point-target models of rotating objects, are shown. The first example is a so-called merry-go-round of 24 point-targets, and the MLM (maximum-likelihood method) algorithm is utilized to process a 3-D range-Doppler image estimate. The second example is a rotating boom along which are located 15 point-targets including a doublet, a triplet, and a quadruplet cluster that require superresolution techniques to resolve in the Doppler domain. It is concluded that superresolution techniques offer a viable alternative to conventional DFT (discrete Fourier transform) ISAR image processing and should permit either higher resolution images from the same data samples or equal-quality images from significantly fewer data samples.<<ETX>>","PeriodicalId":167059,"journal":{"name":"Proceedings of the IEEE National Radar Conference","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"1989-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"19","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the IEEE National Radar Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NRC.1989.47614","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 19

Abstract

High-resolution optimal estimation techniques are applied to the problem of radar imaging of rotating objects, sometimes referred to as ISAR (inverse synthetic array radar) imaging. Typical digital range-Doppler processing operations are described, utilizing two spectral estimation techniques. Quality ISAR images have been obtained from such processing, and particular examples, which are based on simulated data generated from point-target models of rotating objects, are shown. The first example is a so-called merry-go-round of 24 point-targets, and the MLM (maximum-likelihood method) algorithm is utilized to process a 3-D range-Doppler image estimate. The second example is a rotating boom along which are located 15 point-targets including a doublet, a triplet, and a quadruplet cluster that require superresolution techniques to resolve in the Doppler domain. It is concluded that superresolution techniques offer a viable alternative to conventional DFT (discrete Fourier transform) ISAR image processing and should permit either higher resolution images from the same data samples or equal-quality images from significantly fewer data samples.<>
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
超分辨率技术和ISAR成像
高分辨率最优估计技术被应用于旋转物体的雷达成像问题,有时被称为ISAR(逆合成阵列雷达)成像。利用两种频谱估计技术,描述了典型的数字距离-多普勒处理操作。通过这种处理获得了高质量的ISAR图像,并给出了基于旋转物体的点目标模型生成的模拟数据的具体示例。第一个例子是所谓的旋转木马24点目标,并利用MLM(最大似然方法)算法处理三维距离-多普勒图像估计。第二个例子是一个旋转臂,沿其定位15个点目标,包括双重态、三重态和四重态星团,需要超分辨率技术在多普勒域进行分辨。结论是,超分辨率技术为传统的DFT(离散傅里叶变换)ISAR图像处理提供了可行的替代方案,并且应该允许从相同的数据样本中获得更高分辨率的图像,或者从更少的数据样本中获得同等质量的图像。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Advanced Technology MMW Seeker Testbed: a multi-technology demonstration sensor Effect of interchannel mismatches upon adaptive array cancellation Naval Space Surveillance System (NAVSPASUR) solid state transmitter modernization A 150-MHz coherent radar system (ice cap sounding) Track quality estimation for multiple-target tracking radars
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1