Adaptive ocean acoustic processing for a shallow ocean experiment
Conference
·
OSTI ID:109672
- Lawrence Livermore National Lab., CA (United States)
- Naval Undersea Warfare Center, Newport, RI (United States)
A model-based approach is developed to solve an adaptive ocean acoustic signal processing problem. Here we investigate the design of model-based identifier (MBID) for a normal-mode model developed from a shallow water ocean experiment and then apply it to a set of experimental data demonstrating the feasibility of this approach. In this problem we show how the processor can be structured to estimate the horizontal wave numbers directly from measured pressure sound speed thereby eliminating the need for synthetic aperture processing or a propagation model solution. Ocean acoustic signal processing has made great strides over the past decade necessitated by the development of quieter submarines and the recent proliferation of diesel powered vessels.
- Research Organization:
- Lawrence Livermore National Lab., CA (United States)
- Sponsoring Organization:
- USDOE, Washington, DC (United States)
- DOE Contract Number:
- W-7405-ENG-48
- OSTI ID:
- 109672
- Report Number(s):
- UCRL-JC--119497; CONF-9510202--2; ON: DE96000077
- Country of Publication:
- United States
- Language:
- English
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