Study On The Particle Swarm Optimal Algorithm in Antenna Pattern Synthesis

被引：0
|
作者：
Duan Li [1 ]
Zhao Yi Song [1 ]
Xue Yong Yi [1 ]
机构：
[1] Beijing Union Univ, Coll Informat, Beijing, Peoples R China
来源：
2010 INTERNATIONAL CONFERENCE ON NETWORKING AND INFORMATION TECHNOLOGY (ICNIT 2010) | 2010年
关键词：
Antenna; Particle; Swarm; Optimization; Algorithm;
D O I：
10.1109/ICNIT.2010.5508542
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
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.
引用
收藏
页码：149 / 152
页数：4
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