Intelligent tracking algorithm using fuzzy-based adaptive α - β filter for maneuvering target

In this paper, a new adaptive alpha - beta filter is proposed for maneuvering target tracking based on fuzzy logic. Firstly, we analyzed that the change of course angle and the measurement residual could reflect the maneuverability of the target real time, then the two parameters are used as the input variables of the fuzzy logic, and the fuzzy logic rules of the maneuverability are designed to calculate the parameters of the alpha - beta filter. The experiment results show a higher performance in maneuvering targets tracking problems and the method could be easily applied to real project.