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Strategic Collection for Rapid Return to Continuous Monitoring for Deep Space Wide Area Search and Tasked Sensors

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: FA9451-14-M-0181
Agency Tracking Number: F141-015-0942
Amount: $149,237.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: AF141-015
Solicitation Number: 2014.1
Solicitation Year: 2014
Award Year: 2014
Award Start Date (Proposal Award Date): 2014-07-29
Award End Date (Contract End Date): 2015-04-23
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
 Islam Hussein
 Aerospace Engineer
 (410) 715-0005
Business Contact
 Thomas Kubancik
Title: Vice President, Advanced Systems
Phone: (303) 570-3707
Research Institution

ABSTRACT: The goal of the proposed research in response to solicitation AF141-015 is to develop a collection concept of operations and software prioritized in the geosynchronous (GEO) and super-synchronous regimes using optical telescopes to maintain custody of objects and to detect and revisit new objects that enter the space, thereby enhancing the Space Situational Awareness (SSA) capabilities of the United States. Applied Defense Solutions (ADS) researchers and our Pacific Defense Solutions (PDS) and Texas A & M University teammates propose to do this by more efficiently allocating existing sensors and by maximizing the informational return of the data they collect. Improving the situational awareness and data-collection capabilities of existing and new optical telescopes can result in orders of magnitude improvements in awareness. This can be achieved by basing the situational awareness and data-collection capabilities of existing sensors on rational, information-centric criteria. In Phase I, ADS will show the necessity of using the Finite Set Statistics (FISST), information reward and stochastic optimization methodologies and demonstrate the scientific merit and feasibility of these concepts when employed to automated multi-telescope scheduling aimed at maximizing awareness (by maintaining custody via systematic revisit of existing objects and detect/discover new objects) of man-made objects. BENEFIT: With the successful completion of Phase I, a successfully-running TASMAN-like simulation environment that implements Finite Set Statistics (FISST) and Information State Receding Horizon Control (ISRHC) for GEO/super-synchronous RSO population inference and optimal sensor tasking will be developed. The algorithms will be able to efficiently maintain custody, detecting changes and new dim objects and characterize cued and uncued targets. The algorithm will be able to quantify the likelihood of follow-up detection (one of FISST"s standard capabilities). If implemented in SSA systems, it is anticipated that the data collected from the optical sensors will provide orders of magnitude improvement in data quality and awareness of the GEO/super-synchronous environment, which will lead to increased U.S. capability in predicting and responding to space-related threats. Phase II would continue to transition the solution to operational software and a decentralized near-real-time web-services to be tested in Maui.

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

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