A ISAR Imaging Method for Space Targets Based on Fast Estimation of Joint Motion Parameters

HOU Qingsen; LI Guangzuo; XU Zhongqiu; LIU Chenyu; HONG Wen; WU Yirong

doi:10.12000/JR24251

Volume 14 Issue 2

Apr. 2025

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Article Navigation > Journal of Radars > 2025 > 14(2): 424-438

YU Wenxian. Automatic target recognition from an engineering perspective[J]. Journal of Radars, 2022, 11(5): 737–752. doi: 10.12000/JR22178

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HOU Qingsen, LI Guangzuo, XU Zhongqiu, et al. A ISAR imaging method for space targets based on fast estimation of joint motion parameters[J]. Journal of Radars, 2025, 14(2): 424–438. doi: 10.12000/JR24251

YU Wenxian. Automatic target recognition from an engineering perspective[J]. Journal of Radars, 2022, 11(5): 737–752. doi: 10.12000/JR22178

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A ISAR Imaging Method for Space Targets Based on Fast Estimation of Joint Motion Parameters

DOI: 10.12000/JR24251 CSTR: 32380.14.JR24251

HOU Qingsen^{1, 2, 3},
LI Guangzuo^{1, 2
,
,},
XU Zhongqiu^{1, 2},
LIU Chenyu^{1, 2},
HONG Wen¹,
WU Yirong^{1, 3}

1.
Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China
2.
Research Department of Cyber-electromagnetic Space Information Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China
3.
School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100049, China

Funds: Science and Disruptive Technology Program, AIRCAS (E3Z208010F)

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Corresponding author: LI Guangzuo, ligz@aircas.ac.cn
Received Date: 2024-12-14
Rev Recd Date: 2025-02-17

Available Online: 2025-02-20

Publish Date: 2025-03-15

Abstract

Abstract

Inverse Synthetic Aperture Radar (ISAR) is an important tool for imaging and monitoring space targets. The large rotation angle of space targets can exacerbate the phenomenon of Migration Through Resolution Cells (MTRC), seriously affecting the ISAR imaging performance. For the fast estimation and compensation of echo phase errors caused by the motion of space targets, this paper proposes an ISAR space-target imaging method based on the rapid estimation of joint motion parameters. This method combines the advantages of the high efficiency of the Broyden-Fletcher-Goldfarb-Shanno (BFGS) optimization algorithm and the high compensation accuracy of the Polar Format Algorithm (PFA) algorithm. The proposed method formulates an image entropy minimization model considering the joint estimation of the translation and rotation parameters of the target. To reduce the possibility of optimization falling into local optima, the proposed method solves sub-steps, which comprise rough and fine estimations of the target motion parameters, using the BFGS optimization algorithm. The proposed method rapidly estimates target rotation parameters and performs quick MTRC compensation under large rotation angles. The simulation of point targets and imaging results of actual civil aircraft data show that compared with the Particle Swarm Optimization-Polar Format Algorithm (PSO-PFA) algorithm, the proposed method estimates motion parameters with a higher accuracy under low signal-to-noise ratio conditions. Further, the computational efficiency is improved by more than five times, which is significantly advantageous.
- Space target,
- Inverse Synthetic Aperture Radar (ISAR),
- Migration Through Resolution Cell (MTRC),
- Polar Format Algorithm (PFA),
- Joint motion compensation

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References(32)

References

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A ISAR Imaging Method for Space Targets Based on Fast Estimation of Joint Motion Parameters

DOI: 10.12000/JR24251 CSTR: 32380.14.JR24251