Pattern Synthesis of Antennas Based on Particle Swarm Optimization Algorithm
نویسندگان
چکیده
Multiplexing Antenna Arrays is the rapid development antiinterference key technology of 4G mobile communication. The core is the direction of pattern synthesis. Yet some of the algorithm has 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 parameters adjust. Especially, multi-zero and low side lobe constraint conditions may be optimized to achieve good results.
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تاریخ انتشار 2011