基于改进蜂群算法的非均匀阵列综合

发布时间：2018-12-14 17:19

【摘要】：针对蜂群算法易陷入局部极值的缺陷,提出一种改进蜂群算法实现非均匀阵列综合。首先,通过引入概率选择机制,以概率因子控制蜂群算法对精英蜂的选择,从而改善蜂群算法的全局优化性能;然后,采用改进蜂群算法优化阵元间距降低最大峰值旁瓣电平并抑制干扰;最后,仿真实验表明该改进算法在非均匀阵列综合中的有效性和稳健性。研究成果可为非均匀阵列综合提供一种新的途径。
[Abstract]:In order to solve the problem that bee colony algorithm is easy to fall into local extremum, an improved bee colony algorithm is proposed to realize heterogeneous array synthesis. Firstly, the probability selection mechanism is introduced to control the selection of elite bees by using probabilistic factors, so as to improve the global optimization performance of the swarm algorithm. Then, the improved bee colony algorithm is used to optimize the distance between the array elements to reduce the maximum peak sidelobe level and suppress interference. Finally, the simulation results show that the improved algorithm is effective and robust in heterogeneous array synthesis. The results can provide a new way for heterogeneous array synthesis.
【作者单位】：军械工程学院;
【基金】：军队科研基金资助项目
【分类号】：TP18;TN820.15

【相似文献】