Element Polarization Selection Optimization for Radar Clutter Suppression via Mixed-Integer Programming

This is the authors' abstract. We don't add key points for this paper.

The information of the target in the polarization domain helps to solve the problem of low-speed target detection. However, due to the limitation of hardware complexity, polarimetric radar usually configures only one radio frequency (RF) channel for each polarized antenna. Therefore, for the problem of clutter suppression, it is necessary to design the element polarization of the transmitter and receiver under such constraints. In this article, we analyze the problem of single-end element polarization selection optimization and the joint polarization optimization of transmitter and receiver with the constraint that the polarized antenna has only one RF channel. We first give the signal model of the polarization-sensitive array based on the polarization scattering mechanism, and then present the optimization model for polarization optimization. The corresponding optimization problem is the fractional quadratic programming with the binary integer constraint, and a heuristic algorithm based on the alternating direction method of multipliers frame is proposed to find a solution to the mixed-integer programming. Numerical simulation results show that although the convergence of the algorithm cannot be guaranteed, we can use this algorithm to find a suboptimal solution in a short time, and the output signal-to-clutter plus noise ratio is improved compared to the single-polarimetric radar.