Study on the particle swarm optimal algorithm in antenna pattern synthesis

Multiplexing Antenna Arrays is the rapid development anti-interference key technology of 4G mobile communication. The core is the direction of pattern synthesis. Yet some of the algorithm have the problem of needing lots of data, slow speed of optimization and convergence accuracy. In this paper the improved antenna pattern synthesis based on particle swarm optimal algorithm is presented. Simulation results show that: it has the small calculation quantity, easy to implement, the good stability, no many parameter demand adjust. Especially, multi-zero and low side lobe constraint conditions may be optimized to achieve good results.