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Decision Aid to Threat Identification and Intent Modeling

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: FA9451-14-M-0180
Agency Tracking Number: F141-014-0941
Amount: $148,811.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: AF141-014
Solicitation Number: 2014.1
Solicitation Year: 2014
Award Year: 2014
Award Start Date (Proposal Award Date): 2014-07-18
Award End Date (Contract End Date): 2015-04-02
Small Business Information
10440 Little Patuxent Parkway P.O. Box 1102
Columbia, MD 21044-
United States
DUNS: 172216827
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Mathew Wilkins
 Aerospace Engineer
 (410) 715-0005
Business Contact
 Thomas Kubancik
Title: Vice President, Advanced Systems
Phone: (303) 570-3707
Research Institution

ABSTRACT: 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 for threat identification and intent modeling 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 focuses on photometric light curve data as the initial data source and utilizes the GOTS Ananke software suite to ingest evidence from a Multiple Model Adaptive Estimator (MMAE). ADS has shown previously that its Hierarchical Reasoning Tool (HRT), which is a component of Ananke, can rapidly, decisively, and accurately select the correct object identification hypothesis based upon the priors and the observational evidence supplied by the MMAE. This Phase 1 effort will leverage the HRT and lead to a method to monitor satellite observables using optical and other data sources to predict and understand future activities of operational satellites in orbit. BENEFIT: Hierarchical reasoning capabilities provide a structured and mathematically rigorous methodology to correlate and aggregate sparse data from disparate sensors. The completed software tools could be used by both government and commercial entities that wish to not only provide indications of and attribution for anomalous events but also predict the likelihood of future intention and warn of possible threats.

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

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