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Space Signatures for Rapid Unambiguous Identification of Satellites

Award Information
Agency: Department of Defense
Branch: Defense Advanced Research Projects Agency
Contract: FA9453-14-C-0165
Agency Tracking Number: D2-1328
Amount: $955,951.00
Phase: Phase II
Program: SBIR
Solicitation Topic Code: SB122-010
Solicitation Number: 2012.2
Solicitation Year: 2012
Award Year: 2014
Award Start Date (Proposal Award Date): 2014-09-18
Award End Date (Contract End Date): 2016-09-22
Small Business Information
10440 Little Patuxent Parkway P.O. Box ?1102
Columbia, MD 21044
United States
DUNS: 000000000
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Mathew Wilkins
 Aerospace Engineer
 (410) 715-0005
Business Contact
 Mr. Thomas Kubancik
Title: program manager
Phone: (410) 715-0005
Research Institution

Applied Defense Solutions (ADS) has embarked upon a new approach to data correlation and aggregation using a space object taxonomy that provides a set of unique signatures for automatically recognizing and classifying a space object. The goal of this Space Signatures effort is to find automated techniques that will enable analysts to take signature data from different phenomenology sensors, combine them, and discern more intelligence than can be determined from the individual sensors alone. The Phase 1 Small Business Innovation Research (SBIR) project focused on photometric light curve data as the initial data source and utilized the GOTS Ananke software suite to ingest evidence from a Multiple Model Adaptive Estimator (MMAE). ADS showed that its Hierarchical Reasoning Tool (HRT) can rapidly, decisively, and accurately select the correct object identification hypothesis based upon the priors and the observational evidence supplied by the MMAE. Phase II will demonstrate the capability to assert evidence from multiple tools and varying quantity and quality data sources in an asynchronous mode as well as pursue full automation of the hierarchical reasoning process. Furthermore, ADS will demonstrate the HRT in a variety of simulated and real data scenarios.

* Information listed above is at the time of submission. *

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