Research of Generalized Cross Correlation to Time Delay Estimation Based on Wavelet Analysis

As the generalized cross-correlation method has high real-time in the delay Algorithm, when the experiment environment is the a priori knowable, Generalized cross-correlation algorithm is usually used. The pre-filtering of the generalized cross-correlation method has a greater impact on the accuracy of time delay estimation, for the problem that how to effectively use the generalized cross-correlation method in real time taking the accuracy into account, proposed generalized cross correlation algorithm based on wavelet analysis in this paper. Receiving the same sound signals for different microphones, the basic features of the signal is the same. Wavelet transform can effectively strengthen the basic features of the acoustic signal, and improve the accuracy of the generalized cross correlation method. The simulation shows that the generalized cross correlation algorithm based on wavelet analysis has good accuracy.