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Shielding Effectiveness Estimation using Statistical Modeling Techniques

Award Information

Agency:
Department of Defense
Branch:
Navy
Award ID:
59609
Program Year/Program:
2002 / SBIR
Agency Tracking Number:
N02-089-09
Solicitation Year:
N/A
Solicitation Topic Code:
N/A
Solicitation Number:
N/A
Small Business Information
SCIENCE & ENGINEERING ASSOC., INC.
6100 Uptown Blvd. NE Suite 700 Albuquerque, NM 87110
View profile »
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
 
Phase 1
Fiscal Year: 2002
Title: Shielding Effectiveness Estimation using Statistical Modeling Techniques
Agency / Branch: DOD / NAVY
Contract: N00178-02-C-3057
Award Amount: $69,999.00
 

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

Principal Investigator:

Ted Lehman
Senior Scientist
5058610503
lehmanth@aol.com

Business Contact:

Mary G. Maldonado
Contracts Administrator
5058842300
mmaldonado@seabase.com
Small Business Information at Submission:

Science & Engineering Assoc., Inc.
6100 Uptown Blvd. NE, Suite 700 Albuquerque, NM 87110

EIN/Tax ID: 850280770
DUNS: N/A
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No