Airborne SAR Imaging Algorithm and Range-Doppler Point Target Processing

This document presents an airborne Synthetic Aperture Radar (SAR) imaging algorithm and its Range-Doppler (RD) point target echo data processing technique. These algorithms serve as critical methodologies for processing and generating high-resolution SAR imagery. Airborne SAR refers to radar systems mounted on aircraft or other platforms designed to capture detailed images of ground surfaces and other targets. The SAR imaging algorithm transforms raw radar echo data into visual representations through sophisticated signal processing chains. Implementation typically involves phase-preserving processing steps including range compression, azimuth compression, and motion compensation. The Range-Doppler algorithm specifically handles point target echo data by employing Fourier transform operations in both range and azimuth dimensions, enabling precise target detection and localization through matched filtering techniques. These algorithms play vital roles in radar imaging applications and are widely deployed across multiple domains including military surveillance, aerial mapping, and geological exploration. The RD algorithm's computational efficiency makes it particularly suitable for real-time processing systems, often implemented through optimized FFT operations and interpolation methods for accurate phase preservation.