Generalized Environmental Acoustic Model Structure for Bottom Backscatter

Award Information
Agency:
Department of Defense
Branch
Navy
Amount:
$70,000.00
Award Year:
2008
Program:
SBIR
Phase:
Phase I
Contract:
N66001-08-M-1049
Agency Tracking Number:
N073-189-0503
Solicitation Year:
2007
Solicitation Topic Code:
N07-189
Solicitation Number:
2007.3
Small Business Information
MARINE ACOUSTICS, INC.
809 Aquidneck Avenue, Middletown, RI, 02842
Hubzone Owned:
N
Socially and Economically Disadvantaged:
N
Woman Owned:
N
Duns:
193499043
Principal Investigator:
William Elliison
Chief Scientist
(401) 847-7508
wemai@aol.com
Business Contact:
William White
Contracts Manager
(401) 847-7508
bill.white@marineacoustics.com
Research Institution:
n/a
Abstract
Existing OAML-approved active acoustic models are under continuous evolution to take advantage of new theoretical and numerical developments and more powerful computational resources. These models are supported by OAML-approved environmental databases that are also constantly updated to accommodate the newly developed models and recent measurements throughout the world. The databases that describe the bottom include the Digital Bathymetric Data Base (DBDBV) multi-resolution bathymetric databases, the Low-Frequency Bottom Loss (LFBL) database, the Bottom Sediment Type (BST) database, and the Bottom Backscattering Strength (BBS) database. Recent physics based research on coupled scattering mechanisms and physics-based clutter as functions of the bottom’s geoacoustic parameters and bathymetry have offered the opportunity for a wholly new approach to developing a prototype generalized bottom database. This approach is based on understanding and describing the underlying physical mechanisms of reverberation and clutter (including bistatic geometries), and provides the ability to harness and integrate the information from the existing databases and new measurement techniques into a generalized bottom database. This database would furnish physics-based and/or empirical bottom parameters to model undersea acoustic propagation, deterministic bottom reverberation and stochastic clutter for emulation of false alarms.

* information listed above is at the time of submission.

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