基于改进蜂群算法的非均匀阵列综合

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。

Synthesis of Non-uniform Arrays Using Modified Bees Algorithm

According to the problems that Bees Algorithm(BA)is easy to fall into local extremum, a Modifeid Bees Algorithm (MBA) is proposed to optimize the distances of non-uniform arrays. Firstly,a mechanism of probability selection is introduced to BA,the elite bee of bees algorithm is selected by probability factor. In this way,the global searching ability will be improved. Then the antenna distances are optimized by MBA to minimize the peak side-lobe level and suppress the interference. Finally,simulation results show the effectiveness and robustness of the MBA. The research can provide a new way for synthesis of non-uniform arrays.