Adaptive parameters for tracking filters innovation system

One of the most important parts in target tracking is the filter algorithm. In the practical engineering, α-β-γ and α-β-γ-δ filters are often applied due to its simpler arithmetic operations. An improved α-β-γ and α-β-γ-δ filters based on parameter identification are proposed to search suitable parameter values at every time step. The tracking errors between the α-β-γ-δ and α-β-γ filters are compared. The results show that the adaptive parameter of the α-β-γ-δ filter exhibits significant improvement in position tracking accuracy over the adaptive parameter of the α-β-γ filter. The simulation results demonstrate that the adaptive parameters of the α-β-γ and α-β-γ-δ filters have better tracking capabilities and good real-time performances.