Ground-Based Radar Imaging for Space Debris Based on Generalized Radon Fourier Transform

To solve the issue of space debris detection and imaging, a ground-based radar (GBR) imaging method for space debris based on the generalized radon fourier transform (GRFT) is proposed in this paper. First, the geometric model and signal model are established by using the prior information of high-speed spin of space debris. Subsequently, an improved GRFT method was proposed and successfully applied to space debris imaging. This method fully exploits the amplitude and phase information of the radar-received signal and belongs to coherent integration. Compared with traditional generalized radon transform (GRT) methods, this method can effectively reduce sidelobes and improve noise resistance. Finally, the simulation experiments verified the effectiveness of the proposed method.

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Publication Details

Published
2024-12-06
DOI
https://doi.org/10.1109/iciba62489.2024.10868381
Primary Topic
Space Satellite Systems and Control
Type
article
Field-Weighted Citation Impact
0.00

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article

Ground-Based Radar Imaging for Space Debris Based on Generalized Radon Fourier Transform

Yin Xiang, Chengxiang Zhang
Space Satellite Systems and Control
article

Ground-Based Radar Imaging for Space Debris Based on Generalized Radon Fourier Transform

Yin Xiang, Chengxiang Zhang
article en

Abstract

To solve the issue of space debris detection and imaging, a ground-based radar (GBR) imaging method for space debris based on the generalized radon fourier transform (GRFT) is proposed in this paper. First, the geometric model and signal model are established by using the prior information of high-speed spin of space debris. Subsequently, an improved GRFT method was proposed and successfully applied to space debris imaging. This method fully exploits the amplitude and phase information of the radar-received signal and belongs to coherent integration. Compared with traditional generalized radon transform (GRT) methods, this method can effectively reduce sidelobes and improve noise resistance. Finally, the simulation experiments verified the effectiveness of the proposed method.

Beijing Institute of Technology (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 55%
Space Satellite Systems and Control
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