Ground Moving Target Imaging via SDAP-ISAR Processing: Review and New Trends

Area of Science:

• Radar systems engineering
• Signal processing
• Remote sensing

Background:

• Ground moving target imaging is crucial for military and homeland security, including intelligence, surveillance, and reconnaissance (ISR) and border surveillance.
• Detecting airborne moving targets against strong ground clutter is challenging due to comparable or stronger clutter returns.
• Multichannel radar systems offer a solution by effectively removing ground clutter to detect and image moving targets.

Purpose of the Study:

• To review the latest advancements in Ground Moving Target Imaging.
• To explore the combined application of Space-Time Adaptive Processing (STAP) and Inverse Synthetic Aperture Radar (ISAR) Imaging.
• To discuss theoretical aspects, practical evidence, and application-oriented insights.

Main Methods:

• Utilizing multichannel radar systems for ground moving target detection.
• Applying Space-Time Adaptive Processing (STAP) to mitigate ground clutter.
• Integrating Inverse Synthetic Aperture Radar (ISAR) Imaging techniques for enhanced target imaging.

Main Results:

• Demonstrated effectiveness of joint STAP and ISAR for ground moving target imaging.
• Successful suppression of strong ground clutter, enabling target detection.
• Validation of theoretical findings with practical evidence.

Conclusions:

• The integration of STAP and ISAR provides a robust solution for airborne ground moving target imaging.
• This approach significantly enhances detection and imaging capabilities in cluttered environments.
• The findings support practical applications in surveillance and reconnaissance missions.