基于改進蜂群算法的非均勻陣列綜合
發(fā)布時間:2018-12-14 17:19
【摘要】:針對蜂群算法易陷入局部極值的缺陷,提出一種改進蜂群算法實現(xiàn)非均勻陣列綜合。首先,通過引入概率選擇機制,以概率因子控制蜂群算法對精英蜂的選擇,從而改善蜂群算法的全局優(yōu)化性能;然后,采用改進蜂群算法優(yōu)化陣元間距降低最大峰值旁瓣電平并抑制干擾;最后,仿真實驗表明該改進算法在非均勻陣列綜合中的有效性和穩(wěn)健性。研究成果可為非均勻陣列綜合提供一種新的途徑。
[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.
【作者單位】: 軍械工程學院;
【基金】:軍隊科研基金資助項目
【分類號】:TP18;TN820.15
[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.
【作者單位】: 軍械工程學院;
【基金】:軍隊科研基金資助項目
【分類號】:TP18;TN820.15
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