Research on imaging algorithm of the arc array bistatic SAR data with a satellite transmitter

Zhennan Qin; Wei Xu; Pingping Huang; Weixian Tan; Yaolong Qi

doi:10.1117/12.3007371

30 August 2023 Research on imaging algorithm of the arc array bistatic SAR data with a satellite transmitter

Zhennan Qin, Wei Xu, Pingping Huang, Weixian Tan, Yaolong Qi

Proceedings Volume 12797, Second International Conference on Geographic Information and Remote Sensing Technology (GIRST 2023); 127972V (2023) https://doi.org/10.1117/12.3007371
Event: 2nd International Conference on Geographic Information and Remote Sensing Technology (GIRST 2023), 2023, Qingdao, China

Abstract

Arc array bistatic SAR with a satellite transmitter is a new imaging mode of array radar, which has a good application prospect in helicopter emergency rescue, military, environmental monitoring and other fields. However, due to the special structure of the receiving antenna, obtaining the two-dimensional spectrum directly from the fixed-phase principle poses a considerable challenge. In addition, when the satellite is moving at high speed, there is a serious range migration. To address the aforementioned challenges, this paper proposes an innovative imaging algorithm based on series inversion. Firstly, the range migration introduced by the satellite's high-speed motion is compensated in the range frequency domain. Then, the two-dimensional spectrum of echo data is obtained by the method of series inversion, the corresponding compensation factors are constructed to complete the migration correction and secondary range compression. Finally, simulation test is used to validate the suggested algorithm's efficacy.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Zhennan Qin, Wei Xu, Pingping Huang, Weixian Tan, and Yaolong Qi "Research on imaging algorithm of the arc array bistatic SAR data with a satellite transmitter", Proc. SPIE 12797, Second International Conference on Geographic Information and Remote Sensing Technology (GIRST 2023), 127972V (30 August 2023); https://doi.org/10.1117/12.3007371

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