Passive localization in ocean acoustics: A model-based approach
- Lawrence Livermore National Laboratory, P.O. Box 808, L-495, Livermore, California 94550 (United States)
- Naval Undersea Warfare Center, NUWC Code 82101, Bldg 679, Newport, Rhode Island 02841 (United States)
A model-based approach is developed to solve the passive localization problem in ocean acoustics using the state-space formulation for the first time. 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 the model-based approach in which an ocean acoustic propagation model is used in developing the model-based processor required for localization. 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 a sophisticated processing algorithm. Here the parameter estimator is designed, or more appropriately the model-based identifier (MBID) for a propagation model developed from a shallow water ocean experiment. After simulation, it is then applied to a set of experimental data demonstrating the applicability of this approach. {copyright} {ital 1995} {ital Acoustical} {ital Society} {ital of} {ital America}.
- Sponsoring Organization:
- USDOE
- OSTI ID:
- 115795
- Journal Information:
- Journal of the Acoustical Society of America, Vol. 98, Issue 3; Other Information: PBD: Sep 1995
- Country of Publication:
- United States
- Language:
- English
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