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

Award Information
Agency:
Department of Defense
Branch
Air Force
Amount:
$100,000.00
Award Year:
2004
Program:
SBIR
Phase:
Phase I
Contract:
FA8750-04-C-0142
Agency Tracking Number:
F041-102-2980
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
Hubzone Owned:
N
Socially and Economically Disadvantaged:
N
Woman Owned:
N
Duns:
054672662
Principal Investigator:
Mark Meloon
Senior Analyst
(805) 968-6787
mmeloon@toyon.com
Business Contact:
Marcella Lindbery
Director of Finance
(805) 968-6787
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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