Parameterized Pseudo-Localization for Accurate and Efficient Moving Targets Imaging in Synthetic Aperture Radar

Area of Science:

• Radar Systems Engineering
• Signal Processing
• Remote Sensing

Background:

• Accurate moving target imaging is crucial for synthetic aperture radar (SAR) and ground moving target indication (GMTI) systems.
• Conventional Doppler rate estimation methods for moving targets lack accuracy and efficiency due to exhaustive searching.

Purpose of the Study:

• To develop an efficient method for imaging moving targets in SAR/GMTI systems without prior knowledge of the Doppler rate.
• To enhance Doppler rate estimation accuracy by utilizing amplitude information.

Main Methods:

• Introduced Doppler delayed interferometry to image moving targets and estimate Doppler rates using parameterized pseudo-localization.
• Proposed an improved Doppler rate estimation method based on Newton's approximation, incorporating unused amplitude information.

Main Results:

• The proposed method achieves efficient imaging of moving targets without requiring Doppler rate pre-estimation.
• The improved estimation technique enhances accuracy by leveraging amplitude data.
• The new approach offers high accuracy and low computational complexity, outperforming conventional methods.

Conclusions:

• The developed Doppler delayed interferometry and improved Newton's approximation methods provide accurate and efficient solutions for moving target imaging in SAR/GMTI.
• These methods meet the practical requirements for accurate and efficient moving target recognition in real-world SAR applications.