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Bistatic Forward-Looking SAR Moving Target Detection Method Based on Joint Clutter Cancellation in Echo-Image Domain
Zhutian Liu1, Zhongyu Li2, Huaiqin Yu3
1School of Information and Communication Engineering, University of Electronic Science and Technology of China, No. 2006 Xiyuan Ave, West Hi-Tech Zone, Chengdu 611731, China. zhutian_liu@std.uestc.edu.cn.
Sensors (Basel, Switzerland)
|November 11, 2018
Summary
This study introduces a novel method for ground moving target detection (GMTD) in bistatic forward-looking synthetic aperture radar (BFSAR). The technique effectively suppresses strong, non-stationary clutter for improved target identification.
Area of Science:
- Radar Systems Engineering
- Signal Processing
- Remote Sensing
Background:
- Ground moving target detection (GMTD) in bistatic forward-looking synthetic aperture radar (BFSAR) faces significant challenges due to strong, heterogeneous ground clutter.
- Traditional methods suffer performance degradation from Doppler ambiguity, range/Doppler cell migration, and non-stationary clutter characteristics inherent in BFSAR.
Purpose of the Study:
- To propose and validate a novel GMTD method for BFSAR systems operating in complex clutter environments.
- To achieve effective moving target detection by jointly addressing clutter suppression in both the echo and image domains.
Main Methods:
- Application of pre-filtering and keystone transform to mitigate Doppler ambiguity and correct range cell migration.
- Implementation of time-division space-time adaptive clutter cancellation in the echo domain to address Doppler cell migration.
- Utilization of adaptive displaced phase center antenna for residual non-stationary clutter suppression in the image domain.
Main Results:
- The proposed method successfully suppresses strong and non-stationary BFSAR clutter.
- Experimental results demonstrate sufficient Signal-to-Clutter-to-Noise Ratio (SCNR) for reliable moving target detection.
- The joint echo-image domain clutter cancellation effectively handles the complexities of BFSAR clutter.
Conclusions:
- The developed GMTD method offers a robust solution for target detection in challenging BFSAR clutter scenarios.
- The combination of echo-domain and image-domain processing is crucial for effective clutter suppression in BFSAR.
- This approach significantly enhances the performance of GMTD in heterogeneous BFSAR clutter environments.
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