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Ultra-High Resolution Imaging Method for Distributed Small Satellite Spotlight MIMO-SAR Based on Sub-Aperture Image
Fang Zhou1, Jun Yang1, Lu Jia1
1School of Computer and Information, Hefei University of Technology, Hefei 230009, China.
Sensors (Basel, Switzerland)
|March 6, 2021
Summary
This study introduces a new method for ultra-high resolution imaging using distributed small satellite synthetic aperture radar (SAR) with multiple-input multiple-output (MIMO) capabilities. The approach enhances image resolution by combining sub-aperture signals for improved synthetic aperture radar (SAR) performance.
Area of Science:
- Earth and Space Sciences
- Electrical Engineering
- Remote Sensing Technology
Background:
- Small satellite synthetic aperture radar (SAR) systems offer advantages like rapid deployment and lower costs, driving their adoption in remote sensing.
- Distributed small satellite multiple-input multiple-output (MIMO) SAR research remains less explored despite the potential for enhanced imaging capabilities.
- Current limitations in resolution hinder the full potential of small satellite SAR systems for detailed terrestrial observation.
Purpose of the Study:
- To propose an novel ultra-high resolution imaging method for distributed small satellite spotlight MIMO-SAR.
- To address the research gap in high-resolution imaging techniques for small satellite MIMO SAR constellations.
- To enhance the imaging performance of small satellite SAR systems for detailed applications.
Main Methods:
- The proposed method utilizes sub-aperture division and coherent fusion algorithms tailored for MIMO SAR.
- An improved time-domain bandwidth synthesis (TBS) technique is employed to achieve a large signal bandwidth after deblurring sub-aperture data.
- Sub-aperture images are coherently fused to reconstruct an ultra-high resolution final image.
Main Results:
- The developed method successfully achieves ultra-high resolution imaging for distributed small satellite spotlight MIMO-SAR.
- Deblurring and bandwidth synthesis techniques effectively increase the signal bandwidth for improved resolution.
- Coherent fusion of sub-aperture images yields a high-fidelity, ultra-high resolution output.
Conclusions:
- The proposed ultra-high resolution imaging method is feasible and effective for distributed small satellite MIMO-SAR.
- This technique advances the capabilities of small satellite SAR for high-detail remote sensing applications.
- The study validates the potential of sub-aperture processing and fusion for enhancing SAR imaging resolution.

