Mathematical Techniques in Multisensor Data Fusion
Mathematical Techniques in Multisensor Data Fusion
Effects of stochastic traffic flow model on expected system performance
Proceedings of the Winter Simulation Conference
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Naval Surface Warfare Center Panama City Division (NSWC-PCD) has developed a System Performance and Layered Analysis Tool (SPLAT) using MATLAB. The overall goal is to detect terrorist threats, particularly in an open crowded area, in a timely manner. Given a sensor configuration and a scenario specification, it combines a layered set of threat detection sensors to determine overall system performance in terms of probability of detection, probability of false alarm, and cost. SPLAT avoids overly optimistic performance estimates inherent when a series of closely spaced detection events are modeled as discrete, independent Bernoulli trials. SPLAT describes all sensors using multi-dimensional lookup tables, thereby circumventing the need to mathematically model complex sensor performance functions. This methodology is sufficiently general that it can be applied to a broad class of problems where multiple stationary sensors attempt to detect a moving target.