Airborne SAR Moving Target Imaging Algorithms

Airborne Synthetic Aperture Radar (SAR) moving target imaging algorithms and the Moving Target Range-Doppler (RD) algorithm represent cutting-edge research areas in radar signal processing. Airborne SAR moving target imaging algorithms primarily focus on extracting and locating dynamic targets through advanced processing and analysis of radar echo signals, enabling precise target imaging and positioning. The Moving Target Range-Doppler algorithm specifically handles the estimation and measurement of dynamic targets' range and velocity parameters. These algorithms typically involve complex signal processing chains including pulse compression, Doppler centroid estimation, and autofocus techniques implemented through functions like matched filtering and phase gradient autofocus (PGA). The research and implementation of these algorithms significantly enhance target detection and tracking capabilities for airborne SAR systems, with key computational steps often involving matrix operations for range-Doppler processing and velocity estimation through phase difference calculations between consecutive pulses. These advancements play a crucial role in improving the operational effectiveness of modern airborne SAR systems for surveillance and reconnaissance applications.