Bird localization using the GCC in the wavelet domain

摘要

Bird localization using passive acoustic methods is a non-intrusive solution for taking a census of bird spicies. The generalized cross-correlation with phase transform (GCC-PHAT) has been adopted widely in the estimation of the time-differences-of-arrival (TDOA), as it performs very well in a reverberant environment. However, the performance is degraded when the signal to noise ratio is low. We propose to implement the GCC-PHAT in the wavelet domain, and thus, apply a thresholding on each node before the wavelet reconstruction in order to reduce the TDOA fluctuations. Simulation and recording, signals in the forest are used to assess the performances of the algorithm.