Modeling and Analyzing the Propagation of Uncertainty from Environmental through Sonar Performance Prediction
Abstract
LONG-TERM GOALS. Central to the long-term goals of this joint project is to understand the physics of the propagation of uncertainty through the interfaces between oceanography, acoustics, array processing and performance prediction. We will develop an efficient overall simulation platform that combines all of the components of the baseline (mean) and uncertainty problem: Oceanography through 4-D acoustic field prediction. The development of a methodology to distill the complexity and uncertainty of the ocean acoustic environment and the system level sensitivities to relevant situational awareness for the operator is an important goal of this research. This project is a joint effort between the Principal Investigators listed above and the other team members: J. Krolik and L. Nolte (Duke University), H. Cox and K. Heaney (ORINCON), and M. Porter, P. Hursky, and M. Siderius (SAIC). Below we concentrate on the SIO effort. OBJECTIVES. The objective of this research program is both to develop a methodology to predict uncertainty in the whole performance prediction process and to understand the uncertainty physics of the individual components of the process. The latter provides the potential to develop methods to reduce uncertainty.
Document Details
- Document Type
- Technical Report
- Publication Date
- Sep 30, 2003
- Accession Number
- ADA628407
Entities
People
- A. Thode
- B. D. Cornuelle
- K. H. Kim
- William A. Kuperman
- William Hodgkiss
Organizations
- Scripps Institution of Oceanography