A SELF-TUNING α-β-γ TRACKING FILTER WITH A MANEUVERING INPUT DECISION AND ESTIMATION

For tracking a maneuvering target with unknown noise statistics,this paper presents a new self-tuning tracking scheme,which consists of a simple self-tunlng α-β-γ filter,a maneuvering input decision and a selftuning α-β-γ filter with input estimation.When a maneuvering acceleration input has occurred,the simple self-tuning α-β-γ filter is replaced immediately by a self-tuning α-β-γ filter with input estimation,so that the accuracy of tracking filter is ensured.Simulation results show the effectiveness of the proposed scheme.