Target tracking using fuzzy logic association

Multistatic active sonar systems are being developed for the mission of tracking enemy submarines in harsh underwater environments. This paper focuses on a revolutionary new method with which to track a target. A fuzzy logic based tracker has been developed which performs remarkably better than a Kalman filter tracker. This is accomplished through the use of additional, non-kinematic information about each of the detections. The fuzzy logic engine combines these additional clues with the kinematic clues. This framework allows for the implementation of user-designed rules which take advantage of the additional information that is provided as input to the tracker. This additional information, effectively handled, yields a significant improvement in tracker performance