Maneuvering Target Tracking Method based on Unknown but Bounded Uncertainties

In this paper a new maneuvering target tracking method based on a model with unknown but bounded uncertainties is proposed. Firstly, a model with unknown but bounded uncertainties is proposed. Then, an algorithm for tracking the target in both maneuvering and non-maneuvering cases is generated. The proposed method can be used for a large diversity of input types. Also, this method does not require maneuver detection and covariance resetting that are necessary in previous maneuvering target tracking methods. Therefore, it doesn't consume any time for maneuver detection and covariance resetting. Also simulation results are provided to confirm the theoretical development.