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 vital for military and homeland security (intelligence, surveillance, reconnaissance - ISR, border surveillance).
• Airborne ground target imaging faces challenges due to strong ground clutter overwhelming target signals.
• Existing methods struggle with detecting and imaging targets obscured by clutter.

Purpose of the Study:

• To review recent advancements in Ground Moving Target Imaging (GMTI).
• To explore the synergistic application of Space-Time Adaptive Processing (STAP) and Inverse Synthetic Aperture Radar (ISAR) imaging.
• To bridge theoretical analysis with practical evidence and application-focused discussions.

Main Methods:

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

Main Results:

• Demonstrated effectiveness of joint STAP and ISAR for GMTI.
• Successful suppression of strong ground clutter in airborne scenarios.
• Improved detection and imaging of ground moving targets.

Conclusions:

• The integration of STAP and ISAR offers a robust solution for airborne Ground Moving Target Imaging.
• This approach significantly enhances target detection capabilities in cluttered environments.
• The findings support practical applications in security and surveillance operations.