Minimum Hellinger Distance based classification of underwater acoustic signals

Source classification and localization in the underwater environment is a challenging problem in part because propagation through the space- and time-varying medium introduces uncertainty in the signal. Coupled with uncertainty in environmental parameters, this uncertainty in received signals leads to a statistical treatment. Minimum Hellinger distance (MHD) methods provide a robust and efficient framework for making classification decisions in this context.