中文摘要：

改进本地化精确性，球形的麦克风数组被用来捕获高顺序的 wavefield 信息。为远域声音来源，数组信号模型基于飞机波浪分解被构造。空间光谱功能被最小的变化计算对扫描的无失真的反应(MVDR ) 三维的空间。光谱函数的山峰值对应于多重健全来源的方向。一个斜装载方法被采用解决收到的信号的性恶的生气光谱矩阵。装载水平取决于缓和矩阵和反的计算的精确性有病条件。与飞机波浪分解方法相比，我们的建议本地化算法能为多重健全来源方向获得高空间的分辨率和更好的评价，特别在到噪音比率(SNR ) 的低信号。

英文摘要：

To improve localization accuracy, the spherical microphone arrays are used to capture high-order wavefield in- formation. For the far field sound sources, the array signal model is constructed based on plane wave decomposition. The spatial spectrum function is calculated by minimum variance distortionless response （MVDR） to scan the three-dimensional space. The peak values of the spectrum function correspond to the directions of multiple sound sources. A diagonal loading method is adopted to solve the ill-conditioned cross spectrum matrix of the received signals. The loading level depends on the alleviation of the ill-condition of the matrix and the accuracy of the inverse calculation. Compared with plane wave decomposition method, our proposed localization algorithm can acquire high spatial resolution and better estimation for multiple sound source directions, especially in low signal to noise ratio （SNR）.