Model-based inversion for a shallow ocean application
Conference
·
OSTI ID:10175277
- Lawrence Livermore National Lab., CA (United States)
- Naval Undersea Warfare Center, Newport, RI (United States)
A model-based approach to invert or estimate the sound speed profile (SSP) from noisy pressure-field measurements is discussed. The resulting model-based processor (MBP) is based on the state-space representation of the normal-mode propagation model. Using data obtained from the well-known Hudson Canyon experiment, a noisy shallow water ocean environment, the processor is designed and the results compared to those predicted using various propagation models and data. It is shown that the MBP not only predicts the sound speed quite well, but also is able to simultaneously provide enhanced estimates of both modal and pressure-field measurements which are useful for localization and rapid ocean environmental characterization.
- 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:
- 10175277
- Report Number(s):
- UCRL-JC--115131; CONF-9406241--1; ON: DE94016968
- Country of Publication:
- United States
- Language:
- English
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