A Multi-Objective Optimization Subarray Partition Method Based On Particle Swarm Optimization

In order to debase hardware cost and system complexity, subarray partition is necessary for large phased array antenna. Traditional subarray partition methods are mainly aimed at the single performance optimization of signal processing. In this paper, a subarray structure optimization algorithm based on particle swarm optimization (PSO) is proposed, which can optimize the multiple performances of the signal processing and improve it compared with the traditional methods. Through the simulation of the division of the linear array, the paper demonstrates that particle swarm optimization (PSO) algorithm is proposed to improve the performances of the subarray beamforming.