Research on 3D synthetic aperture radar imaging of frequency diversity array based on deconvolution algorithm

Zhenbo Wang; Kefei Liao; Haitao Wang; Ningbo Xie; Qizhi Yang

doi:10.1117/12.3022763

28 March 2024 Research on 3D synthetic aperture radar imaging of frequency diversity array based on deconvolution algorithm

Zhenbo Wang, Kefei Liao, Haitao Wang, Ningbo Xie, Qizhi Yang

Author Affiliations +

Proceedings Volume 13091, Fifteenth International Conference on Signal Processing Systems (ICSPS 2023); 130910U (2024) https://doi.org/10.1117/12.3022763
Event: Fifteenth International Conference on Signal Processing Systems (ICSPS 2023), 2023, Xi’an, China

Abstract

A synthetic aperture radar three-dimensional imaging system based on frequency diversity array (3D-FDA-SAR) has the characteristics of low cost and flexible transmission signal and is used in 3D imaging of complex environments. However, due to the range-angle dependence of the frequency diversity array (FDA), the information in each dimension will be coupled with each other when imaging the target, and the space-time-frequency sparse characteristic of the echo signal leads to high side lobes in the imaging results. In this paper, the deconvolution algorithm is applied to the imaging of 3D-FDA-SAR, the coupling is removed according to the coupling generation characteristics, and the effect of reducing side lobes is achieved at the same time. Using MATLAB simulation and comparing the simulation results with the simulation using the BP algorithm directly, the results show that the 3D-FDA-SAR after adding the algorithm in this paper has a better effect on multi-target imaging and is more suitable for the real imaging environment.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Zhenbo Wang, Kefei Liao, Haitao Wang, Ningbo Xie, and Qizhi Yang "Research on 3D synthetic aperture radar imaging of frequency diversity array based on deconvolution algorithm", Proc. SPIE 13091, Fifteenth International Conference on Signal Processing Systems (ICSPS 2023), 130910U (28 March 2024); https://doi.org/10.1117/12.3022763

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KEYWORDS

Matrices

Detection and tracking algorithms

Image deconvolution

Scattering

3D modeling

Imaging arrays

Synthetic aperture radar

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