关键词: 波束形成器设计, 麦克风阵列, 局部搜索技术, 梯度方法, 遗传算法, 混合下降方法

Abstract: Due to the microphone array positioning non-convexity problems in the process of nonlinear optimization in beamformer design, local search techniques might not yield the best result. To address this problem, a hybrid descent method is proposed which consists of a genetic algorithm together with a gradient-based method. The gradient-based method can help to locate the optimal solution rapidly around the start point, while the genetic algorithm is used to jump out from local minima. Both of which will promote to find the optimal position for bean shaper design. Experimental results show that the beamformer designed by position determined by proposed hybrid descent method has better performance compared with several frequently-used positioning approaches.

Key words: beamformer design, microphone array, local search techniques, gradient-based method, Genetic Algorithm（GA）, hybrid descent method