Model-based detection in a shallow water ocean environment

A model-based detector is developed to process shallow water ocean acoustic data. The function of the detector, is to adaptively monitor the environment and decide whether or not a change from normal has occurred. Here we develop a processor incorporating both a normal-mode ocean acoustic model and a vertical hydrophone array. The detector is applied to data acquired from the Hudson Canyon experiments at various ranges and its performance is evaluated