Decomposition of 2D Process into Range and Azimuth 1D Processes: Range-Doppler Algorithm (RD Algorithm)

SAR imaging processing involves extracting the two-dimensional distribution of scattering coefficients from echo data in target areas. Essentially, this constitutes a two-dimensional correlation processing operation. Consequently, the most straightforward implementation approach would be applying 2D matched filtering to the raw echo data. However, due to the substantial computational load and SAR's inherently high data acquisition rates, real-time processing becomes particularly challenging. To address this limitation, the standard practice decomposes the 2D process into two sequential 1D processing chains: range direction processing followed by azimuth direction processing. This decomposition methodology is implemented through the Range-Doppler Algorithm (RD Algorithm). The RD algorithm effectively reduces computational complexity by performing pulse compression in range domain first, then applying Doppler filtering in azimuth domain, making real-time processing more feasible through optimized signal processing flow.