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Unresolved Resident Space Object Characterization Using Time-Frequency Analysis

Award Information

Agency:
Department of Defense 		Branch:
Air Force 		Award ID:
82258 		Program Year/Program:
2008 / SBIR
Agency Tracking Number:
F071-283-0872 		Solicitation Year:
N/A 		Solicitation Topic Code:
N/A 		Solicitation Number:
N/A
Small Business Information
APPLIED OPTIMIZATION, INC.
714 E Monument Ave Ste 204 Dayton, OH -
View profile »
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
 
Phase 2
Fiscal Year: 2008
Title: Unresolved Resident Space Object Characterization Using Time-Frequency Analysis
Agency / Branch: DOD / USAF
Contract: FA8718-08-C-0019
Award Amount: $746,918.00
 

Abstract:

Applied Optimization, Inc. [AO] proposes to demonstrate full feature characterization of unresolved RSOs by performing spectral unmixing and time-frequency analysis of its time and spectrally resolved signature in the visible or infrared spectrum. The characterization will be performed step-by-step by following a taxonomy of feature extraction. Materials identification will be performed via spectral unmixing. RSO typing will be performed on the basis of materials present in the signature. Time frequency analysis of temporal behavior of material fractional abundances will be utilized to characterize the RSO mechanics. The algorithms will be implemented as reusable software components in a tool kit format. A Bayesian belief propagation technique will be used to navigate the RSO characterization taxonomy and to assign a measure of goodness to the results. This will be accompanied by a tool for visualization of the RSO feature extraction sequence. Quality historical data will be utilized to generate a RSO time-frequency behavior catalog which can be used for correlating or identifying unknown objects. The effectiveness of the algorithms and the RSO data catalog will be verified by newly collecting and analyzing time and spectrally resolved RSO signature data in the visible and infrared spectra.

Principal Investigator:

Anil B. Chaudhary
Scientist
9374315100
anil@appliedo.com

Business Contact:

Katy Keenan
Finance Manager
9374315100
katy.keenan@appliedo.com
Small Business Information at Submission:

APPLIED OPTIMIZATION, INC.
714 E Monument Ave Ste 204 Dayton, OH 45402

EIN/Tax ID: 311446081
DUNS: N/A
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No