Ocean acoustic signal processing: A model-based approach
- University of California, Lawrence Livermore National Laboratory, P.O. Box 5504, L-495, Livermore, California 94550 (United States)
- Naval Underseas Warfare Center, NUWC Code 103, Newport, Rhode Island 02841 (United States)
A model-based approach is proposed to solve the ocean acoustic signal processing problem that is based on a state-space representation of the normal-mode propagation model. It is shown that this representation can be utilized to spatially propagate both modal (depth) and range functions given the basic parameters (wave numbers, etc.) developed from the solution of the associated boundary value problem. This model is then generalized to the stochastic case where an approximate Gauss--Markov model evolves. The Gauss--Markov representation, in principle, allows the inclusion of stochastic phenomena such as noise and modeling errors in a consistent manner. Based on this framework, investigations are made of model-based solutions to the signal enhancement, detection and related parameter estimation problems. In particular, a modal/pressure field processor is designed that allows {ital in} {ital situ} recursive estimation of the sound velocity profile. Finally, it is shown that the associated residual or so-called innovation sequence that ensues from the recursive nature of this formulation can be employed to monitor the model's fit to the data and also form the basis of a sequential detector.
- OSTI ID:
- 6950858
- Journal Information:
- Journal of the Acoustical Society of America; (United States), Vol. 92:6; ISSN 0001-4966
- Country of Publication:
- United States
- Language:
- English
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Ocean Acoustic processing: A model-based approach
Ocean Acoustic processing: A model-based approach