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Azimuth Sidelobes Suppression Using Multi-Azimuth Angle Synthetic Aperture Radar Images
Yamin Wang1, Wei Yang2, Jie Chen3
1School of Electronic and Information Engineering, Beihang University, Beijing 100191, China. wangyamin@buaa.edu.cn.
Sensors (Basel, Switzerland)
|June 29, 2019
Summary
A new multi-pass squinted (MPS) synthetic aperture radar (SAR) method suppresses azimuth sidelobes. This technique improves image quality by optimizing parameters for elevation processing and incoherent addition.
Area of Science:
- Remote Sensing
- Signal Processing
- Radar Imaging
Background:
- Synthetic Aperture Radar (SAR) systems are crucial for Earth observation.
- Azimuth sidelobes can degrade SAR image quality and resolution.
- Multi-pass squinted (MPS) SAR offers unique acquisition geometries for advanced processing.
Purpose of the Study:
- To propose a novel method for azimuth sidelobes suppression in MPS SAR data.
- To enhance the performance of SAR imaging through advanced signal processing techniques.
- To improve the interpretability and accuracy of SAR-derived information.
Main Methods:
- Utilizing multi-pass squinted (MPS) SAR data acquisition geometry.
- Applying 2D signal focusing and master image registration.
- Implementing elevation processing and incoherent addition for sidelobe suppression.
- Deriving parameter design criteria for optimal incoherent addition performance.
Main Results:
- Demonstrated prominent azimuth sidelobes suppression effect.
- Achieved slightly improved azimuth resolution.
- Validated the method using simulated point targets and real TerraSAR-X data.
Conclusions:
- The proposed MPS SAR method effectively suppresses azimuth sidelobes.
- Parameter optimization in incoherent addition is key to achieving superior performance.
- The technique offers a significant advancement in SAR image quality enhancement.
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