If you ignore the warning and search for "digital processing of synthetic aperture radar data pdf free download," you will encounter:
Due to the curved flight path and the spherical wavefront of the radar signal, a point target traces a hyperbolic trajectory in the range-compressed data domain. digital processing of synthetic aperture radar data pdf
While the platform moves, the phase of the returns changes systematically. By storing these phase histories and applying a second matched filter (matched to the Doppler phase history), the system synthesizes an antenna much longer than the physical one. This defines the azimuth resolution. If you ignore the warning and search for
Modern SAR systems typically use Linear Frequency Modulation (LFM), known as a "chirp" pulse, to achieve high range resolution. The transmitted signal $s_t(t)$ is defined as: $$ s_t(\tau) = \exp\left(j 2\pi \left( f_c \tau + \frac12 K_r \tau^2 \right) \right) $$ where $\tau$ is the fast time (range time), $f_c$ is the carrier frequency, and $K_r$ is the range chirp rate. A large bandwidth allows for fine range resolution through pulse compression. This defines the azimuth resolution
Digital processing of SAR data is a computationally rigorous task requiring precise signal processing techniques. The transition from raw echo signals to geocoded imagery involves critical steps of range compression, migration correction, and azimuth focusing. While the Range-Doppler Algorithm remains the industry standard for moderate squint processing, modern implementations increasingly utilize Chirp Scaling and Omega-K algorithms for higher precision requirements.