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17 April 2008 Evaluation of an information-based sensor management system
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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.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jonathan Malachowski and Kenneth J. Hintz "Evaluation of an information-based sensor management system", Proc. SPIE 6968, Signal Processing, Sensor Fusion, and Target Recognition XVII, 69680D (17 April 2008);

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