3D Velocity Estimation for Moving Targets via Geosynchronous Bistatic SAR

Pengfei Wang, Mei Liu, Shuwen Wang, Yajun Li, Kan Tang

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

3 Scopus citations

Abstract

Recently, geosynchronous synthetic aperture radar (GEO-SAR), which can achieve continuous Earth observation missions with large coverage and short revisit period, has drawn extensive attention. The wide-swath imaging mode of GEO-SAR presents great potentials for bistatic observation applications. Geosynchronous bistatic SAR (GEO-BiSAR) can not only complete large scene imaging task, but also provide the conditions for ground moving-target indication (GMTI). In this paper, the 3D velocity estimation for moving target via GEO-BiSAR are investigated. And the velocity estimation problem is extended to three-dimensional (3D) domain, considering that targets always move in a 3D space. To solve the 3D velocity of moving targets via GEO-BiSAR, the 3D velocity raw signal model is established, and a method based on fractional Fourier transform (FrFT) is proposed. First, the Doppler centroids and Doppler rates in the GEO-BiSAR are estimated by the FrFT. Second, one of the Doppler rates is used to estimate the azimuth velocity. Then, the range and height velocity are obtained by solving a Doppler centroid equation set. Finally, simulation experiments are presented to demonstrate the effectiveness of the method.

Original languageEnglish
Title of host publication2018 China International SAR Symposium, CISS 2018 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538671931
DOIs
StatePublished - 28 Nov 2018
Externally publishedYes
Event2018 China International SAR Symposium, CISS 2018 - Shanghai, China
Duration: 10 Oct 201812 Oct 2018

Publication series

Name2018 China International SAR Symposium, CISS 2018 - Proceedings

Conference

Conference2018 China International SAR Symposium, CISS 2018
Country/TerritoryChina
CityShanghai
Period10/10/1812/10/18

Keywords

  • 3D Velocity Estimation
  • GMTI
  • Geosynchronous bistatic SAR
  • fractional Fourier transform

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