Unified Multichannel-Multiplatform-Multisensor SIAP

Award Information
Agency: Department of Defense
Branch: Army
Contract: W9113M-09-C-0171
Agency Tracking Number: A083-199-0335
Amount: $69,951.00
Phase: Phase I
Program: SBIR
Awards Year: 2009
Solicitation Year: 2008
Solicitation Topic Code: A08-199
Solicitation Number: 2008.3
Small Business Information
Scientific Systems Company, Inc
500 West Cummings Park - Ste 3000, Woburn, MA, 01801
DUNS: 859244204
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: Y
Principal Investigator
 Adel El-Fallah
 Group Leader
 (781) 933-5355
 adel@ssci.com
Business Contact
 Jay Miselis
Title: Corporate Controller
Phone: (781) 933-5355
Email: contracts@ssci.com
Research Institution
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 mobile ad hoc networks (MANETs). Tasking of sensors 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 surveillance and search. The Scientific Systems Company, Inc. (SSCI) team proposes a foundational, control-theoretic approach to dynamic SIAP resource management of fixed or platform-borne netted sensors. 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 MANET; (2) a dynamic "tactical importance function" (TIF) that mathematically specifies the meaning of "tactical significance" for a given 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; (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.

* information listed above is at the time of submission.

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