Adaptive ocean acoustic processing for a shallow ocean experiment

A model-based approach is developed to solve an adaptive ocean acoustic signal processing problem. The authors investigate the design of a model-based identifier (MBID) for a normal-mode model developed from a shallow water ocean experiment and then apply it to a set of experimental data demonstrating the feasibility of this approach. In this problem the authors show how the processor can be structured to estimate the horizontal wave numbers directly from measured pressure-field and sound speed thereby eliminating the need for synthetic aperture processing or a propagation model solution