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Proceedings Paper

Distributed simulation of an information-based sensor management system
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Paper Abstract

The nonlinear operation of sensor managers and their non-stationary stochastic environment require the use of simulation techniques to quantify and verify their behavior. This is particularly evident when comparing different approaches to sensor management. It is important to consider which performance metrics are of greatest interest and are useful to the evaluation and comparison of competing designs. The environment, sensors, tracking, and fusion simulation must all be unbiased in order to provide an even playing field for evaluating and comparing alternative approaches to sensor management while still having sufficient fidelity to be useful and conclusive. This paper discusses a distributed simulation environment for the evaluation of an information-based sensor management system developed to detect, identify, and track targets. The difficulties and solutions to the need for a top level design, accurate data, computational complexity, required storage, and inter-modular communications are also examined. Much of the simulation has been written in Matlab under Linux though the design ideas do not necessarily preclude other environments. The paper concludes with a preliminary comparison of the performance of a conventional rule based sensor management system with an information based sensor management system.

Paper Details

Date Published: 7 May 2007
PDF: 12 pages
Proc. SPIE 6567, Signal Processing, Sensor Fusion, and Target Recognition XVI, 65670D (7 May 2007); doi: 10.1117/12.722528
Show Author Affiliations
Jonathan Malachowski, George Mason Univ. (United States)


Published in SPIE Proceedings Vol. 6567:
Signal Processing, Sensor Fusion, and Target Recognition XVI
Ivan Kadar, Editor(s)

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