A New Adaptive Filter Algorithm For Tracking Maneuvering Target

Considering the limitation of Singer Model and the limitation of the current statistical model in less—maneuvering target tracking, an accelerated adaptive tracking model is designed for improvement. The synthetical tracking capability is enhanced using the filter algorithm based on this model. Besides, filter gain matrix is adjusted with variable—step algorithm, i. e. the filter gain adjustment is decided through an on—line monitoring algorithm, and the computation overheads of the filter algorithm are reduced greatly. After those improvements, the precision and the real—time performance of maneuvering target tracking are improved. The simulation results show that this algorithm is effective.