Performance prediction for multi-sensor tracking systems: kinematic accuracy and data association performance

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Performance prediction for multi-sensor tracking systems: kinematic accuracy and data association performance

Broida, T.J.

This paper has presented a number of techniques for analytical performance evaluation of multiple sensor, multiple target tracking and surveillance systems. Such techniques are especially useful given the complexity involved in detailed simulation of such complex systems. Because the techniques produce lower bounds (except the PDAF analysis), concepts can be evaluated against an objective yardstick. The sensitivity of the performance bounds to variations in each model (such as target maneuver model, encounter geometry, update intervals, sensor types and measurement accuracies) can be assessed directly, additional error sources (such as navigation errors in multiple platform data fusion) can be incorporated, and the effects of different fusion architectures can be explored. The bounds are conceptually straightforward and easy to compute, again with the exception of the PDAF analysis used for false alarm backgrounds.