研究多个传声器阵列数据融合和宽带多声源近场定位算法。该算法首先融合多个传声器阵列数据,然后对多声源进行定位。由于充分利用多个阵列的数据,降低了分辨门限,提高了定位的精度和稳健性。通过仿真计算,证明了算法的有效性。
An algorithm of localization for multiple wideband sources by the use of data fusion of the multiple arrays is investigated in this paper. The covariance matrices of the multiple arrays are coherently fused into one of a reference array, and then locations of multiple sources are estimated. Multiple arrays are utilized to reduce the resolution threshold and error, and improve the localization accuracy and robustness. Simulations are carried out to demonstrate the effectiveness of the proposed algorithm.