The adaptive beam forming algorithm based on MIMO array with Particle Swarm Optimization

摘要

How to reduce interference between terminals and control side lobe have become hot spots in 4G communication research. In this paper, the beam forming algorithm based on MIMO array with Particle Swarm Optimization (PSO) is proposed to improve modulation waveform and adaptability, furthermore, side lobe suppression is achieved. Because PSO is used to deal with the adaptive beam forming, the algorithm can make the smart track flexible enough and interference suppression much better. The stimulation results acquired from MATLAB indicate that the algorithm is intelligent, openness, and strong scalability, which can be flexibly controlled of gain and side lobe, on-demand optimization of wave-line, so that the optimizing mobile communication channel can be beneficially achieved.