A Novel Multi-objective Synthesis Method of Non-uniform Excitation Sparse Square Planar Transmitting Array Antenna for Microwave Wireless Power Transmission

A novel multi-objective optimal subarray partitioning synthesis method for non-uniformly excited sparse square planar array (NESSPA) antenna is proposed for the problems of maximizing beam collection efficiency (BCE) and minimizing excitation difference (diff) in microwave wireless power transmission (MWPT). The algorithm adopts the multi-objective particle swarm optimization algorithm based on the set of non-dominated solutions (NDSMOPSO) proposed in this paper, which determines the non-dominated solutions in the swarm according to the fitness value and updates the population during the evolution process; the array element positions and excitations are optimized simultaneously in each iteration. In addition, the performance parameter diff proposed in this paper can effectively measure the performance of the array; in general, the smaller the diff, the better the array performance. The effectiveness of the algorithm is demonstrated through a large number of simulations and, according to the method proposed in this paper compared with other two-step methods, a higher BCE can be obtained with fewer subarrays.