Geosynchronous Sar Moving Target Detection and Motion Parameters Estimation Using the Non Uniform Cubic Phase Function Algorithm

Mounir Melzi, Cheng Hu, Xichao Dong, Chang Cui

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

2 Citations (Scopus)

Abstract

This paper addresses the issue of moving target detection and velocity estimation in the Geosynchronous Synthetic Aperture Radar (GEO SAR) scenario, this problem has not been handled yet despite the promising potential of GEO SAR systems in the global monitoring domain. New expressions for the Doppler centroid and the Doppler rate that take into account the specific features of a geosynchronous orbit are developed. Moreover, a new Ground Moving Target Indication (GMTI) technique was proposed, it makes use of the aforementioned expressions combined with the use of the Non Uniform Cubic Phase Function (NUCPF) algorithm to estimate the moving target motion parameters. Simulation results are carried out to demonstrate the accuracy of the developed expressions and the effectiveness of the proposed GEO SAR GMTI technique.

Original languageEnglish
Title of host publication2018 International Conference on Radar, RADAR 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538672174
DOIs
Publication statusPublished - 3 Dec 2018
Event2018 International Conference on Radar, RADAR 2018 - Brisbane, Australia
Duration: 27 Aug 201831 Aug 2018

Publication series

Name2018 International Conference on Radar, RADAR 2018

Conference

Conference2018 International Conference on Radar, RADAR 2018
Country/TerritoryAustralia
CityBrisbane
Period27/08/1831/08/18

Keywords

  • Cubic Phase Function (CPF)
  • Geosynchronous Synthetic Aperture Radar (GEO SAR)
  • Ground Moving Target Indication (GMTI)

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