Joint translational and rotational compensation for space target ISAR imaging

Xiongkui Zhang, Junling Wang*, Yuhui Zhong, Yan Ma, Zhaokun Zhu, Fang Wang

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Joint motion compensation can simultaneously correct the range shift and phase error caused by translational motion, which is convenient for high-resolution inverse synthetic aperture radar (ISAR) imaging. In ISAR imaging of space targets, the rotation of space target is the combination of the change of radar line of sight and the rotation caused by the target spin. Most works ignore the relative rotation caused by the target spin and thus deteriorate the performance of this promoting method. Therefore, this paper proposes a joint translational and rotational phase compensation method, which considers the effects of target motion and body rotation on joint motion compensation, constructs the compensation formula according to the minimum entropy criterion, and then uses the quasi-Newton method to solve the minimum entropy optimization problem.

Original languageEnglish
Title of host publication2021 CIE International Conference on Radar, Radar 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages128-132
Number of pages5
ISBN (Electronic)9781665498142
DOIs
Publication statusPublished - 2021
Event2021 CIE International Conference on Radar, Radar 2021 - Haikou, Hainan, China
Duration: 15 Dec 202119 Dec 2021

Publication series

NameProceedings of the IEEE Radar Conference
Volume2021-December
ISSN (Print)1097-5764
ISSN (Electronic)2375-5318

Conference

Conference2021 CIE International Conference on Radar, Radar 2021
Country/TerritoryChina
CityHaikou, Hainan
Period15/12/2119/12/21

Keywords

  • imaging of in-orbit space targets
  • inverse synthetic aperture radar(ISAR)
  • joint phase correction

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