Electromagnetic Modeling and Simulation (EMMS) Capability-Application of ANDRO's EM Interaction Term Processor (EMI-TP) Validation Methodology

Award Information
Agency:
Department of Defense
Amount:
$99,952.00
Program:
SBIR
Contract:
F08635-02-C-0086
Solitcitation Year:
N/A
Solicitation Number:
N/A
Branch:
Air Force
Award Year:
2002
Phase:
Phase I
Agency Tracking Number:
021XP-1146
Solicitation Topic Code:
N/A
Small Business Information
Andro Consulting Services
Beeches Technical Campus, Bldg. 3, Ste. 4, Rt. 26N, Rome, NY, 13440
Hubzone Owned:
N
Woman Owned:
N
Socially and Economically Disadvantaged:
N
Duns:
883336190
Principal Investigator
 Andrew Drozd
 Chief Scientist
 (315) 334-1163
 andro1@aol.com
Business Contact
 Andrew Drozd
Title: Owner/Proprietor
Phone: (315) 334-1163
Email: androcs@borg.com
Research Institution
N/A
Abstract
"This exploratory research focuses on the development of a robust validation methodology that bridges the gap between component-level EM phenomenology understanding and accurate system-level analysis of complex aircraft-stores problems. A novel EMITPapproach determines the appropriate steps for integrating canonical component-level analysis techniques to establish accurate and valid EM system models. Establishing this relationship requires empirical coupling/scattering trends and parametricsensitivities to be analytically characterized. Statistical bounds are applied to the measured coupling/scattering variances and controllable error algorithms are used in extrapolating results to arrive at a total system (budget) solution. The procedureinvolves quantifying and bounding the RF/EM interactions and parametric sensitivities of selected component scatterers and certain combinations thereof, and then developing empirically-based analytic models that relate the component effects, in a scalableway, to the downstream process of constructing and analyzing complex system configurations. Preconditioning techniques ensure the generation of accurate, valid complex models using an incremental building block approach based on knowledge of thecomponent-level effects. The goal is to increase confidence in the simulations by implementing a methodology that results in good correlation with measurements and converges towards real solutions. The extrapo

* information listed above is at the time of submission.

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