Adaptive Gridding in Complex Physical Environments to Reduce Uncertainty

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N00039-06-C-0107
Agency Tracking Number: N051-079-0726
Amount: $798,999.00
Phase: Phase II
Program: SBIR
Awards Year: 2006
Solicitation Year: 2005
Solicitation Topic Code: N05-079
Solicitation Number: 2005.1
Small Business Information
40 Lloyd Avenue Suite 200, Malvern, PA, -
DUNS: 075485425
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Max Karlovitz
 Senior Associate
 (610) 644-3400
 max@pa.wagner.com
Business Contact
 W. Monach
Title: Vice President
Phone: (757) 727-7700
Email: reynolds@va.wagner.com
Research Institution
N/A
Abstract
Effective Naval warfare depends on accurate estimates of sensor performance in complex environments, which provides a force multiplier by allowing friendly forces to optimize their tactics while avoiding counterdetection. The shift in emphasis from open ocean to littoral operations has increased the demands on models of sonar performance because data must be sampled at an order-of-magnitude finer resolution to obtain the same accuracy, which makes many models impractical in time-sensitive operations. A traditional response to this problem has been to replace detailed physical simulations with simpler, sensor specific, heuristics, but this approach is inflexible and generally provides inferior predictions. The solution to the problem of obtaining accurate sonar performance estimates in time to meet operational constraints is to run detailed physical models at a carefully selected set of grid points, and then to extrapolate from this small dataset to any other location/depth/frequency of interest. In this Phase II project we will enhance our Phase I Adaptive Gridding algorithm to select a minimal number of such grid points which will allow the Adaptive Gridding algorithm to make accurate predictions of sonar effectiveness throughout an operational area, and also further optimize its performance.

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

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