Cognition-Based Transmitter Polarization Optimization for Airborne Conformal Array Stap

This paper presents a cognition-based transmitter polarization optimization method for the conformal array space-time adaptive processing. First, we introduce the signal model and working mechanism of the airborne conformal array radar. Then the polarization characteristics of the target are recognized through the least squares criterion. Leveraging the estimated target scattering matrix, we further design the transmitter polarization optimization problem. Finally, the semidefinite relaxation approach is adopted to obtain the optimized transmit weight vector. Simulation results demonstrate the effectiveness of the proposed method in clutter cancellation.