A Systematic Approach to Uncertainty Analysis for Physical Optics Based Radar Cross Section Prediction.

Award Information
Agency:
Department of Defense
Branch
Air Force
Amount:
$99,995.00
Award Year:
2005
Program:
SBIR
Phase:
Phase I
Contract:
FA8650-05-M-1864
Agency Tracking Number:
F051-212-1551
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
ANALYTIC DESIGNS, INC.
245 East Gay Street, Columbus, OH, 43215
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
802771923
Principal Investigator:
Sean Gilmore
Principal Scientist
(614) 224-9078
swg@adinc.com
Business Contact:
Harry Shamansky
President
(614) 224-9078
hts@adinc.com
Research Institution:
n/a
Abstract
The model validation process in radar cross section (RCS) database production is time consuming and labor intensive. Typically, synthetically generated data is compared to measured data, which is considered to be "truth." However, one must acknowledge that time may be waisted trying to refine a target model beyond the fidelity capable of the synthetic tools or the measurement data source. Analytic Designs, Inc. proposes to develop a systematic approach to uncertainty analysis for RCS prediction. The measurement community has expended a great deal of time and energy addressing the uncertainty problem in RCS measurements; to our knowledge, no one has attempted a similar systematic analysis of the RCS prediction process. The goal is to develop a mathematical/statistical framework for uncertainty analysis based on Physical Optics (PO) theory for the Perfectly Electrically Conducting (PEC) facetized target. The overall purpose of this Phase I program is to provide tools and outline procedures to improve the efficiency of the synthetic RCS database development process.

* information listed above is at the time of submission.

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