Fuzzy tracking algorithm with feedback based on maximum entropy principle
带反馈多传感器模糊最大熵单目标跟踪算法

Aiming at the disadvantages of high computation overhead and bad extensibility in matrix weighted fusion methods, this paper proposed a multisensor fusion algorithm with feedback based on fuzzy C-meansFCM clustering and maximun entropy principleMEP. This algorithm combined FCM and MEP to calculate fusion matrix weight of state vector considering every components integratedly. What's more, this algoritm had a good real-time performance due to less matrix computation and good extensibility which showed it could directly be applied into tracking system comprising more than two sensors. Experiments and results reveal that the tracking accuracy of fusion estimate is consistent with that of matrix weighted fusion methods.