SAR Imaging with Range Doppler (RD) Algorithm

To achieve high-quality Synthetic Aperture Radar (SAR) imaging, the Range Doppler (RD) algorithm serves as a fundamental processing method. This algorithm operates through sequential time-domain and frequency-domain transformations of radar echo data, typically involving range compression, range cell migration correction (RCMC), and azimuth compression stages. In practice, range compression is implemented using Fast Fourier Transform (FFT)-based matched filtering, while RCMC requires precise interpolation techniques like sinc interpolation or polynomial fitting to align range profiles. Azimuth compression then applies Doppler parameter estimation and FFT processing to achieve cross-range resolution. The RD algorithm efficiently transforms raw SAR data into high-resolution imagery with superior signal-to-noise ratios, making it essential for SAR systems. Code implementation often involves optimized FFT routines, interpolation functions, and phase compensation modules to handle large datasets. Consequently, employing the RD algorithm significantly enhances both accuracy and clarity in SAR imaging outputs.