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Multi-Dimensional Ambient Noise Model

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N68335-19-C-0675
Agency Tracking Number: N181-082-0413
Amount: $998,642.00
Phase: Phase II
Program: SBIR
Solicitation Topic Code: N181-082
Solicitation Number: 18.1
Timeline
Solicitation Year: 2018
Award Year: 2019
Award Start Date (Proposal Award Date): 2019-08-21
Award End Date (Contract End Date): 2022-02-28
Small Business Information
1222 4th Street SW
Washington, DC 20024
United States
DUNS: 962150483
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Jason E Summers
 Chief Scientist
 (202) 629-9716
 jason.e.summers@ariacoustics.com
Business Contact
 Jason Summers
Phone: (202) 629-9716
Email: jason.e.summers@ariacoustics.com
Research Institution
N/A
Abstract

To address the Navy need for enhanced ambient-noise modeling for sonar-sensor performance estimation, sonar tactical decision aids (TDAs), and simulation-based training, ARiA will develop, demonstrate, and transition key building blocks for an enhanced multidimensional ambient-noise model (MDANM) needed to overcome the limitations of the current state of practice for noise modeling in sonar TDAs and trainers. For the Phase II effort ARiA proposes a two-part plan for developing and fielding the MDANM noise model and a set of algorithms that will enable MDANM predictions to be best used in tactical decision aids (TDAs) and simulated stimulation (SIM/STIM) trainers developed by Naval Surface Warfare Center Carderock Division (NSWCCD) using the same common baseline.

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

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