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Holistic RSO Space Situational Awareness Algorithms

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: FA9453-14-C-0295
Agency Tracking Number: F131-076-1083
Amount: $832,485.00
Phase: Phase II
Program: SBIR
Solicitation Topic Code: AF131-076
Solicitation Number: 2013.2
Solicitation Year: 2013
Award Year: 2014
Award Start Date (Proposal Award Date): 2014-08-28
Award End Date (Contract End Date): 2016-11-28
Small Business Information
6411 Ivy Lane Suite 303
Greenbelt, MD 20770-6330
United States
DUNS: 000000000
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 David Gaylor
 Vice President
 (303) 656-9035
Business Contact
 Everett Cary
Title: Vice President
Phone: (301) 345-1535
Research Institution

ABSTRACT: The U.S. Air Force is tasked with detecting, tracking, identifying, characterizing, and cataloguing RSOs. This is currently done using a disparate network of sensors that are shared with other missions. The increasing number of objects and scarcity of sensors makes the task of identifying and discriminating RSOs even more challenging. The ultimate goal of this project is to provide the Air Force with algorithms capable of processing and fusing space surveillance data with improved abilities to detect, track, identify, and characterize resident space objects (RSOs). Emergent Space Technologies, Inc. has teamed with the University of Colorado Boulder and The University of Texas at Austin to research and develop algorithms to address these needs and improve the AFs capability to detect, track, identify, characterize and catalog RSOs. Our long-term goal is to provide an integrated tool suite that can be used in the Joint Space Operations Center (JSpOC) Mission System (JMS). BENEFIT: The primary goal of our commercialization plan is to incorporate our SSA algorithms into products that the DoD can use in the Joint Space Operations Center (JSpOC) Mission System (JMS) to determine RSO capabilities and intentions by estimating their important characteristics, features, and behaviors.

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

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