Multi-target and multi-sensor data fusion by rule-based tracking methodology

The multi-target and multi-sensor tracking problem is a major topic of interest for air surveillance systems employing one or more sensors, to form and confirm tracks of targets amid a background of noise sources such as radar clutter. A practical and feasible technique, named here RBT (rule-based tracking) method, is proposed for this tracking problem. We define and implement several rules which field operators are supposed to apply to track initiation, track maintenance, track deletion and track integration. Simulation examples are given to illustrate how this RBT implementation leads to remarkable tracking performance