Space-time adaptive monopulse for RD-STAP parameters estimation

Space-time adaptive processing (STAP) is the key technology of airborne early-warning radar to suppress both clutter and interference, and the extended factored approach (EFA) is the well-established reduced-dimension (RD) STAP approach for engineering implementation. In this paper, the adaptive monopulse technique is introduced into EFA, and an efficient space-time adaptive monopulse to jointly estimate the target velocity and location is presented. Theoretical analysis and simulation results demonstrate that, when the real target Doppler frequency deviates from the central frequency of the Doppler bin, the proposed approach can estimate the velocity and angle parameters more precisely than the conventional adaptive monopulse.