Design of Generalized Cross-correlation Time-delay Estimation Based on Neural Network Filtering
WU Xiu-qian · Huagong zidonghua ji yibiao · 2012
In the mixed noise environment where the priori information of noise is unknown,the in order to improve both accuracy and adaptability of the method based on generalized cross-correlation time-delay estimation,an estimation method based on neural network filtering was proposed to have the mixed noise filtered by grouping and optimizing multiple pre-filters with specific statistical characteristics.This method with self-adjustment,adapt to dynamic environments and able to optimize neural network filter through the peak size of cross-correlation function can improve both adaptability and accuracy.