Model-based localization for a shallow ocean experiment

A model-based approach is developed to solve the passive localization problem in ocean acoustics using the state-space formulation. It is shown that the inherent structure of the resulting processor consists of a parameter estimator coupled to a nonlinear optimization scheme. The parameter estimator is designed using an ocean acoustic propagation model in developing the model-based identifier required for localization.