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A Generalized Uncertainty Analysis for Physical Optics Based Radar Cross…

Award Information

Agency:
Department of Defense
Branch:
Air Force
Award ID:
78824
Program Year/Program:
2006 / SBIR
Agency Tracking Number:
F061-217-1468
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
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Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
 
Phase 1
Fiscal Year: 2006
Title: A Generalized Uncertainty Analysis for Physical Optics Based Radar Cross Section Prediction
Agency / Branch: DOD / USAF
Contract: FA8650-06-M-1056
Award Amount: $100,000.00
 

Abstract:

Automatic Target Recognition (ATR) for Combat Identification (CID) represents one of the most demanding disciplines in sensor technology facing the United States Air Force today. Central to this process is the development of validated synthetic. Unfortunately, the synthetic database generation process is hampered by uncertainty. Under a previous program, Analytic Designs, Incorporated developed a robust and extensible theoretical foundation uncertainty analysis for Physical Optics based Radar Cross Section (RCS) prediction. The goal of this Phase~I proposal is to extend this statistical theory to include two important areas of uncertainty: coupled regions and altered parameterizations. Coupled regions addresses the statistical dependence associated with vertices comprised by feature-based regions. During the target modeling process, a modeler may be unsure of the exact location of a specific feature (e.g., hatch, weapon, antenna, etc.), and this uncertainty may be larger than the geometry capture process. Altered parameterizations addresses the need to simulate RCS uncertainty in synthetic data due to errors in pose angle and/or frequency to facilitate comparisons to measured data and streamline the data validation process. The overall purpose of this Phase~I program is to improve the efficiency of the synthetic RCS database development process and thereby advance Automatic Target Recognition capabilities.

Principal Investigator:

Sean W. Gilmore
Principal Scientist
6142249078
swg@adinc.com

Business Contact:

Harry T. Shamansky
President
6142249078
hts@adinc.com
Small Business Information at Submission:

ANALYTIC DESIGNS, INC.
245 East Gay Street Columbus, OH 43215

EIN/Tax ID: 311273608
DUNS: N/A
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No