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3D Acoustic Model for Geometrically Constrained Environments

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N68335-23-C-0729
Agency Tracking Number: N16A-018-0011a
Amount: $1,516,951.00
Phase: Phase II
Program: STTR
Solicitation Topic Code: N16A-T018
Solicitation Number: 16.A
Timeline
Solicitation Year: 2016
Award Year: 2023
Award Start Date (Proposal Award Date): 2023-09-19
Award End Date (Contract End Date): 2025-09-25
Small Business Information
12625 High Bluff Dr. STE 211
San Diego, CA 92130-1111
United States
DUNS: 167663223
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Michael Porter
 (858) 336-9341
 porter@hlsresearch.com
Business Contact
 Michael Porter
Phone: (858) 336-9341
Email: porter@hlsresearch.com
Research Institution
 Woods Hole Oceanographic Institution
 Timothy Duda
 
266 Woods Hole Road
Woods Hole, MA 02543-1050
United States

 (508) 289-2495
 Domestic Nonprofit Research Organization
Abstract

The goal of this work is to demonstrate and validate a 3D acoustic propagation model for use in constrained environments such as harbors. The 3D model will be used to model system performance for 1) passive sonar, 2) active sonar, and 3) acoustic communications networks. This latter application is of primary importance in this Phase II Extended proposal. To accomplish these goals are sequence of field tests has been proposed in diverse sites including harbors and estuaries. In these field tests a variety of measurements will be made. The environment, especially bathymetry will be measured using specialized autonomous systems called Jetyaks. The ocean propagation conditions will also be measured using the Jetyaks as receivers to record the echo pattern in the channel due to a towed source. Finally, the Woods Hole acoustic communications group will measure modem performance in these same conditions. By analyzing all this data we hope to demonstrate a reliable predictive capability for modem performance in such constrained environments. This in turn will enable modem networks to be optimized for other constrained environments in terms of network geometry as well as modem parameters such as data rate and modulation scheme.

* Information listed above is at the time of submission. *

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