Uncertainty Estimation for Atmospheric Acoustic Propagation Prediction

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N66001-08-M-1075
Agency Tracking Number: N081-096-0544
Amount: $69,993.00
Phase: Phase I
Program: SBIR
Awards Year: 2008
Solicitation Year: 2008
Solicitation Topic Code: N08-096
Solicitation Number: 2008.1
Small Business Information
475 Bridge Street, Suite 100, Groton, CT, 06340
DUNS: 112716357
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Joshua Wilson
 (860) 448-3253
Business Contact
 David Horne
Title: Sr. Vice President/CFO
Phone: (860) 448-3253
Email: dhorne@aphysci.com
Research Institution
The propagation of acoustic signatures from vehicles, aircraft, boats and artillery can have a significant impact on military operations. Specifically combatants need to reliably detect enemy acoustic signatures while at the same time concealing their own. The physical propagation environment, including surface and atmospheric parameters, may drastically alter the range at which an emitting object may be detected. There are currently several models for predicting these acoustic propagation effects based on atmospheric profiles and/or ground topography. Unfortunately these models are sensitive to errors in environmental inputs. We propose a method for estimating the uncertainty (variance) of the acoustic propagation prediction given the uncertainty in the environmental inputs. Advantages to this new method are (1) it fits within current Parabolic Equation (PE) marching algorithms and does not require a second stand-alone code and (2) it is computationally efficient. This would allow our forces to simultaneously predict both the acoustic propagation and its uncertainty. The algorithm used to calculate the uncertainty may also be used to determine the sensitivity of the sound field to the various individual environmental parameters which could aid (1) in acoustic environmental parameter inversion and (2) in the intelligent allocation of meteorological measurement resources.

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

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