Joint Design of Transmit Beamforming and Stap Filter in the Modified Phased Array Based on Prior Information.

This paper considers transmit beamforming and space-time adaptive processing (STAP) filter design in airborne radar for clutter suppression. We suppose that there are some strong clutters, which have a different distribution than the clutter in the cell under test (CUT) based on the database containing a geographical information system (GIS). Hence, we devise a novel algorithm for the joint design of transmit beamforming and STAP filter which aims to maximize the signal-to-clutter-plus-noise ratio (SCNR). To tackle the nonconvex problem, we convert the joint optimization problem into an equivalent beamforming optimization problem and find the optimal so-lution based on the minorization-maximization (MM) technique iteratively. Numerical simulations are provided to val-idate the proposed method and demonstrate its high performance.