基于声压系数变换的分布式球阵方位估计

Azimuth estimation of distributed spherical arrays based on sound pressure coefficient transformation

本文提出了一种基于声压系数变换的分布式球形传声器阵列方位估计算法,适用于估计低频声源方位但阵列布放空间受限的情况。考虑到单一球形传声器阵列可以利用其球谐波函数正交性得到高分辨率的方位估计性能,算法利用加法定理将分布式球形阵列各子阵的球心声压系数变换到坐标原点处,为避免球贝塞尔函数零点的影响,对变换后的各子球系数进行加权。最后,利用正交性估计声源方位。仿真结果表明:所提算法能有效提升低频信号的方位分辨率,具有工程应用价值。

A azimuth estimation algorithm for distributed spherical microphone array based on sound pressure coefficient transformation is proposed,which is suitable for estimating the low-frequency sound source azimuth but the array layout space is limited.Since a single spherical microphone array can use its spherical harmonic function orthogonality to abtain high resolution azimuth performance,the algorithm uses addition theorem to transform the spherical acoustic pressure coefficients of each subarray of the distributed spherical array to the origin of coordinates.In order to avoid the influence of the Bessel function of zero,coefficients of each sub-spheres after transformation are weighted.Finally,orthogonality is used to estimate the sound source orientation.The simulation results show that the proposed algorithm can effectively improve the azimuth resolution of low frequency signals.Also,it has engineering application value.