Understanding the Performance of Frequency-Difference Source Localization Using Ocean Data and a Reliable Model of Internal Waves; A Collaboration
Abstract
"Recent analysis and experimentation into the properties of the acoustic-field autoproducts clearly suggest that they can be used to obtain unique remote sensing results at frequencies below and above the recorded signals frequency range. In particular, signal processing based on the frequency-difference autoproduct appears to provide a viable solution to the long-standing problem of long-range localization of an unknown sound source in the deep ocean. However, the limitations and performance trade-offs associated with autoproduct-based techniques for Navyrelevant sonar applications have not been fully investigated, identified, understood, or quantitatively determined. The research proposed here addresses this science and technology need through a collaborative effort involving researchers at the University of Michigan (where autoproduct-based remote-sensing techniques were invented) and a small business having validated ocean-acoustic propagation codes and an interest in developing autoproduct-based remote-sensing techniques. The proposed work will involve quantitative evaluations of remote source localization success using simulated and measured ocean acoustic propagation data underconditions of interest to the US Navy."
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Apr 29, 2020
- Source ID
- N000142012281
Entities
People
- David J. Dowling
Organizations
- Board of Regents of the University of Michigan
- Office of Naval Research
- United States Navy