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Improved Polar Format Algorithm for Maritime Ship Target Imaging in Spaceborne-Maneuvering Platform Bistatic SAR

  • Zhi Li
  • , Zhongyu Li
  • , Junyan Li
  • , Qing Yang
  • , Junjie Wu
  • , Ping Du
  • , Yueyue Zhang
  • , Mingji Dong
  • , Xin Miao
  • , Jiaxuan Liu
  • University of Electronic Science and Technology of China
  • Ltd.

科研成果: 书/报告/会议事项章节会议稿件同行评审

1 引用 (Scopus)

摘要

Spaceborne-maneuvering platform bistatic SAR (BiSAR) can not only make the high-speed maneuvering platform have the advantages of electromagnetic silence and anti-jamming, but also have the ability of high-resolution imaging of the ship targets in front of the flight, which has an important civil and military value. Due to the characteristics of non-cooperation of the movement of ship target, the imaging of ship target will have serious defocusing problem, and the degree of defocusing of the spaceborne-maneuvering platform bistatic SAR are not the same for ship target under different sea conditions. To solve the problem of defocusing, in this paper, the improved polar format algorithm is proposed for different sea conditions. Firstly, the defocusing problem of moving ship target under different sea conditions are analysed. And, the envelope alignment and particular point method are used to compensate the signal for translational motion. Secondly, when the ship target is in a low sea condition, the polar format algorithm can used for imaging directly, and it can focus well. While in high sea conditions, the defocusing problem will become serious. Thus, this paper process the resulting signal in the wave number domain, and fits the two-dimensional wave number as a third-order polynomial, then extracts the higher-order polynomial that affects the focusing to get the space-variant phase. Then the particle swarm optimization (PSO) is adopted to search for these space-variant phase parameters. Finally, compensating for the space-variant phase by the estimated parameters, and then obtain the focusing image of ship target. The effectiveness of the proposed Algorithm is verified through simulation data.

源语言英语
主期刊名IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024
出版商Institute of Electrical and Electronics Engineers Inc.
ISBN(电子版)9798331515669
DOI
出版状态已出版 - 2024
已对外发布
活动2nd IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024 - Zhuhai, 中国
期限: 22 11月 202424 11月 2024

出版系列

姓名IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024

会议

会议2nd IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024
国家/地区中国
Zhuhai
时期22/11/2424/11/24

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