Shielding Effectiveness Estimation using Statistical Modeling Techniques

Award Information
Agency:
Department of Defense
Branch
Navy
Amount:
$69,999.00
Award Year:
2002
Program:
SBIR
Phase:
Phase I
Contract:
N00178-02-C-3057
Award Id:
59609
Agency Tracking Number:
N02-089-09
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
6100 Uptown Blvd. NE, Suite 700, Albuquerque, NM, 87110
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
038302634
Principal Investigator:
TedLehman
Senior Scientist
(505) 861-0503
lehmanth@aol.com
Business Contact:
MaryMaldonado
Contracts Administrator
(505) 884-2300
mmaldonado@seabase.com
Research Institute:
n/a
Abstract
"An investigation to determine the applicability of statistical modeling techniques to shielding effectiveness estimation of complex, irregular structures is proposed. In particular, the ability to extrapolate existing shielding effectiveness data tosimilar structures (similitude) is of interest. Accuracy, efficiency, validation and usefulness are the evaluation criteria used to establish applicability.Using statistical techniques, it has already been demonstrated that the shielding effectiveness of electrically large, metallic walled irregular structures can be uniquely defined. Techniques for accurately measuring and estimating the shieldingeffectiveness exist. Validation, measurement and computational costs are minimal and applications of similitude are straightforward. The definition is also compatible with vulnerability assessment requirements so it is also useful. The proposed effort willinvestigate the applicability of these techniques and/or modification of these techniques to structures with different wall materials and/or smaller electrical sizes. Wall materials of interest include dielectric and combinations of dielectric/metal(re-enforced concrete). Accurate, cost effective techniques for estimating the shielding effectiveness of a wide class of structures would provide lower cost solutions for protecting critical electronic systems. This approach would provide the tools necessary for identifying themost vulnerable compone

* information listed above is at the time of submission.

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