Transmitter polarization optimization for space-time adaptive processing with diversely polarized antenna array
2019 Elsevier B.V. This paper considers the performance optimization of space-time adaptive processing (STAP) based on a diversely polarized antenna (DPA) array. A transmitter polarization design to enhance the detection performance is proposed. Accounting for the special structure of the polarization signal, we formulate the problem as a quasi-convex form based on the block majorization-minimization (MM) principle and solve it in an iterative framework. Compared with several existing methods, the proposed method has a quasi-convex form and can achieve better clutter suppression performance. We analyze the performance of conventional STAP and polarization-STAP (PSTAP), which indicates that the polarization diversity can help improve the performance of STAP for targets with low velocities, especially stationary ones. Simulations are conducted for validating the proposed methods and demonstrating their high performance.