Ship Target Tracking Method Based on Mean α-β Filtering

Aiming at the traditional α-β filtering algorithm, this paper proposes a ship target tracking algorithm based on the mean α-β filtering. The paper first introduces the traditional α-β filtering and the ship target tracking algorithm based on the average α-β filtering. According to the historical trajectory information of the ship, the average filtering is used to correct the target measurement value, and the corrected target measurement value is input for target filtering and prediction; it is verified that the ship target tracking algorithm based on mean α-β filtering proposed in this paper can effectively reduce the impact of sudden changes in target information.