An Information-Theoretic Approach to Sensor Resource Management for Situational Assessment

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: FA8750-04-C-0142
Agency Tracking Number: F041-102-2980
Amount: $100,000.00
Phase: Phase I
Program: SBIR
Awards Year: 2004
Solicitation Year: 2004
Solicitation Topic Code: AF04-102
Solicitation Number: 2004.1
Small Business Information
TOYON RESEARCH CORP.
Suite A, 75 Aero Camino, Goleta, CA, 93117
DUNS: 054672662
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Mark Meloon
 Senior Analyst
 (805) 968-6787
 mmeloon@toyon.com
Business Contact
 Marcella Lindbery
Title: Director of Finance
Phone: (805) 968-6787
Email: mlindbery@toyon.com
Research Institution
N/A
Abstract
Toyon Research Corporation proposes to develop algorithms for the active management of multiple sensors necessary for a situational assessment (SA) system. In our approach dynamic sensor resource management is cast as an optimization problem where the goal is to minimize the information-theoretic entropy of a target database subject to sensor usage constraints. Choosing an appropriate partitioning of database entities into classes is the key to using existing sensor resource manager (SRMgr) technology to provide data of importance to a SA system. Our system representation is based on probability mass and density functions. As a result, a Bayesian algorithm will be used for transforming the system state from individual targets to entities of interest to SA. Toyon will demonstrate the effectiveness of this SRMgr using our software testbed SLAMEMT on an example problem requiring tracking and identification of enemy units. If we are selected to continue development of the concept in Phase II, we would work to extend our algorithm and test it on a variety of situations and perform system demonstrations to evaluate the performance of the resulting SA system.

* information listed above is at the time of submission.

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