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Proceedings Paper

Evaluation of an information-based sensor management system
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Paper Abstract

As sensors become more specialized, more powerful, and ubiquitous, previous fixed scheduling methods and even adaptive algorithms become less effective, particularly in a stressing environment in which decisions must be made as to how to most effectively allocate sensing resources. Managing sensors based on maximizing the expected information value rate (EIVR) is implemented in our multi-target, distributed, information based sensor management simulation of a 6-DOF forward air defense (FAD) environment. This generalized approach of maximizing the flow of valued information into our model of the world which is used by the mission manager to make decisions better solves the problem of sensor management since rule based systems cease to perform optimally in a non-stationary environment and their performance does not degrade gracefully. This paper discusses simulation results demonstrating the benefits and limitation of our information based approach to sensor management. It also details the scenarios, performance metrics, and results of the comparison.

Paper Details

Date Published: 17 April 2008
PDF: 9 pages
Proc. SPIE 6968, Signal Processing, Sensor Fusion, and Target Recognition XVII, 69680D (17 April 2008); doi: 10.1117/12.779307
Show Author Affiliations
Jonathan Malachowski, George Mason Univ. (United States)
Kenneth J. Hintz, George Mason Univ. (United States)


Published in SPIE Proceedings Vol. 6968:
Signal Processing, Sensor Fusion, and Target Recognition XVII
Ivan Kadar, Editor(s)

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