A new EP-based α-β-λ-δ filter for target tracking

摘要

This study explores a new fourth-order target-tracking α-β-γ-δ filter using an evolutionary programming (EP) for numerical simulation in view that the current third-order α-β-γ filter system tracks only the target's position and velocity but not its acceleration. As demonstrated, the new α-β-γ-δ filter exhibits a significantly improved tracking accuracy over the conventional α-β-γ filter. Not unexpectedly, however, the new α-β-γ-δfilter takes more computation time in the optimization process. To overcome this weakness, an optimal simulation technique via EP is proposed. The developed EP-based α-β-γ-δ filter finds not only the optimal set of filter parameters to minimize position tracking errors but could also reduce the computation time by up to 95% in some time steps. The trajectory simulated by the EP-based α-β-γ-δ filter is compared with those by other filters to illustrate the efficiency of the former filter.