Unscented fuzzy tracking algorithm for maneuvering target

A novel adaptive algorithm for tracking maneuvering targets is proposed in this paper. The algorithm is implemented with fuzzy filtering and unscented transformation. A fuzzy system allows the filter to tune the magnitude of maximum accelerations to adapt to different target maneuvers. Unscented transformation act as a method for calculating the statistics of a random vector. A bearing-only tracking scenario simulation results show the proposed algorithm has a robust advantage over a wide range of maneuvers.