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Uncertainty Estimation for Atmospheric Acoustic Propagation Prediction

Award Information

Agency:
Department of Defense
Branch:
Navy
Award ID:
87657
Program Year/Program:
2008 / SBIR
Agency Tracking Number:
N081-096-0544
Solicitation Year:
N/A
Solicitation Topic Code:
N/A
Solicitation Number:
N/A
Small Business Information
Applied Physical Sciences Corp.
475 Bridge Street Suite 100 Groton, CT -
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Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
 
Phase 1
Fiscal Year: 2008
Title: Uncertainty Estimation for Atmospheric Acoustic Propagation Prediction
Agency / Branch: DOD / NAVY
Contract: N66001-08-M-1075
Award Amount: $69,993.00
 

Abstract:

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.

Principal Investigator:

Joshua Wilson
Scientist
8604483253
jwilson@aphysci.com

Business Contact:

David Horne
Sr. Vice President/CFO
8604483253
dhorne@aphysci.com
Small Business Information at Submission:

APPLIED PHYSICAL SCIENCES CORP.
475 Bridge Street Suite 100 Groton, CT 06340

EIN/Tax ID: 010655626
DUNS: N/A
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No