Compressive space-time adaptive processing airborne radar with random pulse repetition interval and random arrays

This paper proposes a compressive space-time adaptive processing (CSTAP) airborne radar by reducing the samples in one coherence processing interval with random pulse repetition interval and random arrays, termed as the RPRI-RA radar. We firstly detail the compressive sampling in spatial and Doppler domain and develop a rule for the clutter rank estimation for the RPRI-RA radar. Then, CSTAP using the compressed samples without sparse reconstruction is proposed to mitigate the clutter. Additionally, from the point view of degrees of freedom, we perform a preliminary investigation about the configuration design for the target detection. Simulation results illustrate the effectiveness of above contents of the developed RPRI-RA radar.