Simulation-based Optimal Design of α-β-γ-δ Filter

The existing third-order tracker known as α-β-γ filter has been used for target tracking and predicting for years.The filter α-β-γ-δ filter is proposed.The main objective of this study was to find the optimal set of filter parameters that leads to minimum position tracking errors.The tracking errors between using the α-β-γ filter and the α-β-γ-δ filter are compared.As a result,the new filter exhibits significant improvement in position tracking accuracy over the existing third-order filter,but at the expense of computational time in search of the optimal filter.To reduce the computational time,a simulation-based optimization technique via Taguchi method is introduced.