Research on compound scattering modeling and imaging methods of sea surface ship target for GEO-UAV BiSAR

  • Zhuoqun Wang
  • , Yajun Li
  • , Yanbin Li
  • , Jianhua Zhao
  • , Yong Huang
  • , Sheng Shao

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

3 Scopus citations

Abstract

The bistatic imaging system based on Geosynchronous Earth Orbit SAR (GEOSAR) launch-unmanned aerial vehicle(UAV) SAR reception has the advantages of high resolution, flexible configuration, fast maneuvering response, and continuous reconnaissance for large areas, especially in high-resolution ship target imaging and recognition technology. However, under the long synthetic aperture, the ship's target imaging will be affected by the complex structure of the bistatic radar system and marine dynamics factors, resulting in the failure of the traditional SAR imaging algorithm, so it is urgent to develop the new method of high-resolution imaging of moving ship targets for complex sea background. Based on this, this paper combines the geometric difference between GEO-UAV BiSAR geometric structure and the actual complex sea surface ship target to study the sea surface scattering and ship dynamics motion model, and establish a high confidence sea surface motion ship composite scattering model. On this basis, the precise focusing imaging algorithm of moving ship targets in rough sea is proposed. Finally, the effectiveness of the proposed method is verified by simulation analysis.

Original languageEnglish
Title of host publication3rd China International SAR Symposium, CISS 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350398717
DOIs
StatePublished - 2022
Event3rd China International SAR Symposium, CISS 2022 - Shanghai, China
Duration: 2 Nov 20224 Nov 2022

Publication series

Name3rd China International SAR Symposium, CISS 2022

Conference

Conference3rd China International SAR Symposium, CISS 2022
Country/TerritoryChina
CityShanghai
Period2/11/224/11/22

Keywords

  • GEOSAR
  • SAR imaging algorithm
  • UAVSAR
  • ships shaking on the sea

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