基于粒子群优化的宽带同心圆环阵型优化方法

Optimization Method of Broadband Concentric Ring Array Based on Particles Swarm Optimization

同心圆环传声器阵列广泛应用于声成像阵列系统,能有效地抑制干扰并确定声源位置。在限定阵元数量、阵列最大孔径和最小阵元间距等条件下,提出了一种利用粒子群算法设计宽带低旁瓣同心圆环传声器阵列的方法。该方法通过构造一个反映宽带信号在扫描区域内旁瓣水平的适应度函数,以圆环半径和阵元偏转角作为联合优化参数,基于粒子群优化算法实现了阵型的快速优化求解。仿真实验表明,该方法获得的优化阵型在扫描范围内的整体旁瓣水平低于以最高旁瓣级为适应度函数得到的最优阵型,也低于仅优化圆环半径获得的最优阵型,这说明了该优化方法的可行性和有效性。

The concentric ring microphone arrays are widely used in acoustic imaging array systems, which can effectively suppress the interference and determine the location of sound sources. Under the conditions of limiting the number of array elements, the maximum aperture of the array and the minimum array element spacing, a method to design the broadband low-sidelobe concentric ring microphone array using the particle swarm algorithm is proposed in this paper. In this method, by constructing a fitness function reflecting the side lobe level of the broadband signal in the scanning area, and using the radius of the ring and the deflection angle of the array elements as the joint optimization parameters, the rapid optimization solution of the array is realized based on the particle swarm optimization algorithm. The simulation experiments show that the overall side lobe level of the optimized array obtained by the proposed method is lower than that obtained by taking the highest side lobe level as the fitness function, and also lower than the optimal array obtained by optimizing only the radius of the ring, which demonstrates the feasibility and effectiveness of the optimization method.