Three-dimensional Imaging Method for Multi-baseline One-stationary Bistatic SAR Configuration
Tomographic synthetic aperture radar (TomoSAR) is an advanced three-dimensional (3D) synthetic aperture (SAR) imaging technique. It reconstructs the 3D spatial shape of targets or extracts the deformation information by acquiring and processing the two-dimensional (2D) SAR images from multiple baselines. However, the commonly used multi-baseline (MB) monostatic linear SAR and MB circular SAR systems suffer from the severe temporal decorrelation issues due to their system constraints, which may reduce the target’s coherence at the different times, and then affect the accuracy of the final 3D image. In this paper, we propose a MB one-stationary bistatic SAR imaging configuration that utilizes advanced bistatic SAR signal processing techniques, which can mitigate the effects of the temporal decorrelation. This system employs a fixed ground-based radar and multiple-passes airborne radars to collect the radar data of the target scene. It utilizes the 2D SAR image information from the multiple incident angles to invert the 3D information of the target scene. We provide the theoretical analysis of the geometric configuration and signal models, and then conduct relevant simulation experiments. The experimental results validate the feasibility of the proposed method.
Authors
- Jinfeng He
- Haozong Liu (ORCID: https://orcid.org/0009-0006-3297-4565)
- Shiliang Yi
- Yan Li (ORCID: https://orcid.org/0000-0002-4694-4926)
- Hongtu Xie (ORCID: https://orcid.org/0000-0003-3210-7411)
- Yuanjie Zhang (ORCID: https://orcid.org/0000-0003-0101-9670)
Institutions
- Sun Yat-sen University (CN)
Publication Details
- Published
- 2024-12-20
- DOI
- https://doi.org/10.1109/icssip63203.2024.11012510
- 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
- Guangdong Science and Technology Department
- Fundamental Research Funds for the Central Universities