基于改进人工蜂群算法的共形阵列波束形成

Conformal array beamforming based on improved artificial bee colony algorithm

针对共形阵列中主瓣约束下的波束形成问题,文章提出了一种基于改进人工蜂群算法(Improved Artificial Bee Colony algorithm,IABC)的低副瓣方向图综合算法。算法首先将共形阵列的波束形成问题归纳为一个与目标方向图距离最小化的优化问题。通过引入多维邻域搜索策略,改善人工蜂群算法的局部搜索效率,同时通过增加罚函数来抑制副瓣电平,对权值矢量空间进行搜索,寻求最优权值矢量,最终得到与期望逼近的阵列方向图。实验结果表明该算法能够很好地逼近期望方向图,收敛速度快,为实现共形阵列下的波束形成提供了有价值的参考。

The beamforming problem of conformal array with the main lobe constraint is studied, and a low sidelobe pattern synthesis algorithm based on the improved artificial bee colony algorithm（IABC） is proposed. First, the problem is formulated as an optimization problem to minimize the distance from the obtained pattern to the desired one. The multi-dimensional neighborhood search strategy is introduced to improve the local search efficiency in the weight vector space, and a penalty function is adopted to suppress the sidelobe level. With the optimal weight vector, the beam pattern can finally approach the desired one. The experimental results show that the proposed algorithm can well realize the main lobe shaping as well as the low sidelobe level, and it has a fast convergence speed. This study offers a valuable reference for the beamforming of conformal array.