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Published on: December 15, 2023
SAR Ground Moving Target Indication Based on Relative Residue of DPCA Processing
Jia Xu1, Zuzhen Huang2, Liang Yan3
1Beijing Key Laboratory of Embedded Real-time Information Processing Technology, School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China. xujia@bit.edu.cn.
A new method, relative residue of displaced phase center antenna (RR-DPCA), enhances ground moving target indication (GMTI) for synthetic aperture radar (SAR). It effectively detects both point and distributed targets, like vehicles and river surfaces, even in strong clutter.
Area of Science:
- Remote Sensing
- Radar Systems
- Signal Processing
Background:
- Modern synthetic aperture radar (SAR) systems require advanced ground moving target indication (GMTI) capabilities.
- Existing GMTI methods like displaced phase center antenna (DPCA) struggle with detecting weak distributed targets (e.g., river surfaces) due to low signal-to-clutter ratio (SCR).
- DPCA's performance is limited by target SCR and radial velocity, making it less effective for targets like river surfaces with specular scattering.
Purpose of the Study:
- To propose a novel method, relative residue of DPCA (RR-DPCA), for improved SAR/GMTI.
- To enhance the detection of weak distributed targets, such as river surfaces, in challenging clutter conditions.
- To enable simultaneous detection of both point and distributed moving targets.
Main Methods:
- The proposed RR-DPCA method integrates DPCA cancellation outputs with multi-look images.
- Statistical analysis of RR-DPCA outputs on homogenous backgrounds facilitates the application of cell average (CA) for constant false alarm rate (CFAR) detection.
- The method is validated using both simulated and real SAR data.
Main Results:
- RR-DPCA effectively improves the detection performance for weak river surfaces.
- The method demonstrates successful detection of point moving targets (e.g., vehicles).
- Simultaneous detection of both point and distributed moving targets is achieved.
Conclusions:
- The RR-DPCA method offers a significant advancement in SAR/GMTI.
- It overcomes limitations of traditional DPCA for detecting weak distributed targets.
- The proposed technique provides robust and simultaneous detection of diverse moving targets in complex environments.
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