球谐波域自适应波束形成方法研究

Research on Adaptive Beamforming Method in Spherical Harmonic Domain

为提高复杂背景下球麦克风阵列测向性能,提出了一种基于自适应理论的谐波域静态方向图数值综合算法.该方法通过球麦克风阵列采集空域远场高阶声场的声压信息,采用球傅里叶变换得到声场谐波项,结合自适应理论静态方向图数值综合方法,迭代得到阵列的最优加权.仿真实验结果表明,该方法提高了对期望声源的探测精度,在一定程度上验证了该方法的有效性.

To improve the performances of finding direction of spherical microphone array in complex environments, a novel quiescent pattern synthesis method is presented based on adaptive theory in spherical harmonic domain. Sound pressure is sampled through spherical microphone array. Sound field can be decomposed by Spherical Fourier Transform. Based on these harmonic terms, the adaptive quiescent pattern synthesis method is adopted in harmonic domain to get optimal weight vector by applying iterative method. Simulation results show that the precision of detecting target position of the desired source is enhanced, and this method is also proved in the effectivity to a certain degree.