混响环境中突发声源定向方法及性能
Impulsive source localization technique and its performance in reverberation environment

针对突发性声源在混响条件下的定向技术进行了研究。基于传统广义互相关时延估计的定向方法,通过对互相关函数计算结果进行判别与约束、对数据帧采用滑动方式、对时延估计结果进行能量加权选举等措施,有效提高了声源定向结果的稳定性。实验结果表明,改进的算法在混响条件下能有效地对突发性声源进行可靠定向,可用于对枪声、爆炸声等突发性信号进行精确定向和定位。
In this paper the performances of the conventional TDOA acoustic source localization method in reverberant environments are studied when the sound source is an impulsive signal. Based on the Generalized Cross-Correlation and Time Difference of Arrival estimation method (GCC-TDOA), three measures are put into use to enhance the robustness of the original method. The overlapping windowing for data batch processing is first used, and then a series of constraints on the cross-correlation function are defined to exclude the abnormal time-delay estimates. The energy-weighted voting is used as a post processing step to further increase the stability. As a result, the direction estimation performance is significantly improved in reverberation. This algorithm can be used to localize the unstationary signals like gunfire, explosions and so on.