Unified Multisatellite-Multisensor-Multichannel SSA

Award Information
Agency:
Department of Defense
Branch
Air Force
Amount:
$100,000.00
Award Year:
2009
Program:
SBIR
Phase:
Phase I
Contract:
FA9453-09-M-0062
Award Id:
93071
Agency Tracking Number:
F083-185-1925
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
500 West Cummings Park - Ste 3000, Woburn, MA, 01801
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
859244204
Principal Investigator:
Adel El-Fallah
President
(781) 933-5355
j.coward@saphotonics.com
Business Contact:
Jay Miselis
VP of Product Development
(781) 933-5355
m.browne@saphotonics.com
Research Institute:
n/a
Abstract
Dynamic sensor management of disparate and physically dispersed mobile sensors presents a daunting theoretical and practical challenge, especially when they are embedded in communication networks. Tasking of sensors carried by space-based platforms is constrained by their own physical characteristics and those of their platforms; by communications constraints; by target information value; by the information value of the sensors themselves; and by the tradeoff between maintaining existing tracks and search. The Scientific Systems Company, Inc. (SSCI) team proposes a foundational, control-theoretic approach to dynamic Space Situational Awareness (SSA) resource management of platform-borne netted sensors. Our proposed research will build on existing work by extending it to multiple sensors carried by multiple satellites that are interconnected via possibly complex ad hoc transmission networks. Our approach is based on five innovations: (1) a multisensor-multitarget likelihood function that encapsulates all relevant information regarding the characteristics of the various sensors situated on various platforms and various nodes of a communication network; (2) a dynamic "tactical importance function" (TIF) that mathematically specifies the meaning of "tactical significance" for a given space theater at a given moment; (3)an intuitively meaningful sensor management objective function, the expected number of ToIs (Targets of Interest), that inherently optimizes multisource data fusion and the coordination/collaboration among the platforms; (4) integration of these concepts with approximate multitarget detection and tracking filters; and (5) theoretically rigorous incorporation of the constraints due to sensor kinematics, platform kinematics, and communication-systems topologies and characteristics. The project team includes Dr. Ronald Mahler of Lockheed Martin. Lockheed Martin will provide both technical and commercialization support in the application of sensor management technologies during all phases of the project. BENEFIT: Dynamic Multisatellite-Multisensor-Multichannel resource management would support information supremacy in possible future militarized space environments. Commercial application of sensor management exists in any application involving netted, fixed or mobile sensor systems, for example border control, coastline control, and security surveillance.

* information listed above is at the time of submission.

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