Stochastic Characterization of Naval Aircraft Electromagnetic Vulnerability

Award Information
Agency:
Department of Defense
Branch
Navy
Amount:
$70,000.00
Award Year:
2008
Program:
STTR
Phase:
Phase I
Contract:
N68335-08-C-0230
Award Id:
85128
Agency Tracking Number:
N08A-006-0106
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
2009 Fox Drive, Unit K, Champaign, IL, 61820
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
782768977
Principal Investigator:
Robert Kipp
Chief Scientist
(312) 431-7413
kipp@delcross.com
Business Contact:
Matthew Miller
President
(217) 895-2067
mcmiller@delcross.com
Research Institution:
THE UNIV. OF MICHIGAN
Eric Michielssen
1301 Beal Avenue
Ann Arbor, MI, 48109
(734) 647-1793
Nonprofit college or university
Abstract
We will develop a simulation framework aimed at statistically characterizing EMI in aircraft replete with navigation, communication, and sensing systems subject to excitation and geometric uncertainties. The framework will simulate a carefully chosen set of deterministic coupling scenarios (i.e., aircraft of known composition subject to specific excitations) optimally spanning the space of possible excitations and geometries, and compute multidimensional integrals defining the averages and variances of EMI quantities. While the idea of collecting EMI statistics by repeated simulation of deterministic coupling scenarios is not new, it only recently has become practical due to the development of (i) fast and accurate electromagnetic simulators for analyzing broadband EMI into airframes loaded with cable interconnected electronic systems, and (ii) stochastic collocation methods for efficiently evaluating multidimensional integrals. Specific choices for (i) and (ii) include the EMTOPOL hybrid time domain integral equation framework, and weighted Stroud-2 and -3 multidimensional integrators. The proposed framework is anticipated to permit the statistical characterization of EMI in realistically modeled airframes up to 3 GHz in Phase I and 17 GHz in Phase II. We believe the framework ingredients proposed here present the best opportunity to date to yield satisfactorily accurate EMI statistics on readily available parallel computer platforms.

* information listed above is at the time of submission.

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