Polarized Frequency Diverse Array Beampattern Synthesis with a Polarimetric Separation Perspective

In this paper, we present a polarized frequency diverse array (PFDA) beampattern synthesis method, which realizes polarization control with a polarimetric separation perspective, and realizes range-angle beampattern decoupling with nonlinear frequency increments optimized by ant colony optimization algorithm (ACO). Theoretical analyses and simulation results show that: 1. Frequency increments optimized by ACO are superior to logarithmic frequency increments and frequency increments optimized by genetic algorithm in terms of main-lobe width and sidelobes levels of beampattern; 2. The polarimetric separation transforms the beampattern synthesis of PFDA into the beampattern synthesis of its two subarrays. It is worth noting that when the structure of vector sensor is one or more pairs of COLD (concentered orthogonal loop and dipole), calculation amount can be reduced by half while polarization control can be realized.