Abstract:

A new adaptive α-β tracking filter algorithm based on fuzzy logic is proposed for maneuvering target tracking in aperiodic sparseness sampling passive sensor network environment. The rules of the proposed algorithm are expressed in terms of two input variables and two output variables. The input variables are defined in terms of the prediction error and a change of the error. In order to adjust the parameters of the tracking filter, the adjustable index of input varables is designed based on the time interval of measurements and the target velocity. Finally, the experiment results show that the proposed algorithm can track maneuvering targets accurately and be used in engineering easily.