Autofocus Backprojection Algorithm for Circular Synthetic Aperture Radar Imaging
In this paper, an autofocus backprojection (ABP) algorithm for the circular synthetic aperture radar (CSAR) has been presented. First, the effect of motion errors on in the CSAR imaging is analyzed, and the ABP imaging algorithm is studied. Then, an ABP-based CSAR imaging process is investigated for the characteristics of CSAR motion errors, which can improve the imaging accuracy by reducing the image geometrical deformation through the image matching and non-coherent superposition. At last, the electromagnetic simulation data of CVDome and the real measured data of Gotcha are used to test the proposed algorithm, and experimental results verify its correctness and effectiveness.
Authors
- Yingpei Chen (ORCID: https://orcid.org/0000-0003-2605-6056)
- Qi Peng (ORCID: https://orcid.org/0000-0002-3593-2153)
- Mengfan Ge
- Hongtu Xie (ORCID: https://orcid.org/0000-0003-3210-7411)
- Nannan Zhu (ORCID: https://orcid.org/0000-0003-4038-3053)
- Bin Xu (ORCID: https://orcid.org/0000-0003-0878-1094)
Institutions
- Sun Yat-sen University (CN)
Publication Details
- Published
- 2024-12-20
- DOI
- https://doi.org/10.1109/icssip63203.2024.11012410
- Primary Topic
- Advanced SAR Imaging Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- Sun Yat-sen University
- China Postdoctoral Science Foundation
- Fundamental Research Funds for the Central Universities