ABSTRACT

In this paper we discuss the development of model-based signal processing techniques applied to a set of ocean acoustic problems. Recall that model-based signal processing is a well-defined methodology enabling the inclusion of environmental (propagation) models, measurement (sensor arrays) models and noise (shipping, measurement) models into sophisticated processing algorithms. Here we first define the pertinent ocean acoustic problems within the model-based framework. Next we show (conceptually) how they are related to and can be used with the popular matched-field processor (MFP). Finally, we survey the work to date an ocean acoustic model-based processors (MBP) and then look to the future.