Wideband optimal a posteriori probability source localization in an uncertain shallow ocean environment

Published

Journal Article

A wideband extension of the Optimum Uncertain Field Processor (OUFP) is presented. Combined with Monte Carlo estimation methods, this processor provides a fast, efficient, and robust technique for Matched-Field Processing (MFP). Under a simulated Hudson Canyon environment, a quantitative, probabilistic analysis of the sensitivity of the Optimum Matched-Field Processor (OMFP) to various kinds of environmental mismatch is shown. Similarly, the performance of the OUFP is calculated. Finally, the optimum wideband OUFP is applied to a data set collected from the Hudson Canyon, the results tabulated, and then compared to a standard Bartlett processor. The performance of the optimum wideband OUFP and the suboptimum Bartlett processor are in very good agreement with the performance predicted from simulation results.

Full Text

Duke Authors

Cited Authors

  • Shorey, JA; Nolte, LW

Published Date

  • January 1, 1998

Published In

Volume / Issue

  • 103 / 1

Start / End Page

  • 355 - 361

International Standard Serial Number (ISSN)

  • 0001-4966

Digital Object Identifier (DOI)

  • 10.1121/1.421117

Citation Source

  • Scopus