PASSIVE LOCALIZATION IN OCEAN ACOUSTICS - A MODEL-BASED APPROACH

A model-based approach is developed to solve the passive localization problem in ocean acoustics using the state-space formulation for the f irst time. It is shown that the inherent structure of the resulting pr ocessor consists of a parameter estimator coupled to a nonlinear optim ization scheme. The parameter estimator is designed using the model-ba sed approach in which an ocean acoustic propagation model is used in d eveloping the model-based processor required for localization. Recall that model-based signal processing is a well-defined methodology enabl ing the inclusion of environmental (propagation) models, measurement ( sensor arrays) models, and noise (shipping, measurement) models into a sophisticated processing algorithm. Here the parameter estimator is d esigned, or more appropriately the model-based identifier (MBID) for a propagation model developed from a shallow water ocean experiment. Af ter simulation, it is then applied to a set of experimental data demon strating the applicability of this approach. (C) 1995 Acoustical Socie ty of America.