Angle-Doppler imaging based on compressive sensing in random PRF airborne radar

In this paper, a novel method based-on Doppler compressive sampling for the sparsity-based space-time adaptive processing (STAP) is proposed. In our method, the radar transmits a small amount of pulses randomly extracted from the aperiodic pulse sequence. Then, we build the sparse model with Doppler compressive sampling, analyze the capability of solving the Doppler ambiguity, and generate the angle-Doppler image of both targets and clutter for a range bin of interest. Simulation results illustrate that the phenomenon of Doppler ambiguity disappear and the recovery performance of proposed method can approach to that of under uncompressed sampling.