A new EP-based alpha-beta-gamma-delta filter for target tracking
This study explores a new fourth-order target-tracking alpha-beta-gamma-delta filter using an evolutionary programming (EP) for numerical simulation in view that the current third-order-alpha-beta-gamma filter system tracks only the target's position and velocity but not its acceleration. As demonstrated, the new alpha-beta-gamma-delta filter exhibits a significantly improved tracking accuracy over the conventional alpha-beta-gamma filter. Not unexpectedly, however, the new alpha-beta-gamma-delta filter takes more computation time in the optimization process. To overcome this weakness, an optimal simulation technique via EP is proposed. The developed EP-based alpha-beta-gamma-delta 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 alpha-beta-gamma-delta filter is compared with those by other filters to illustrate the efficiency of the former filter. (C) 2011 IMACS. Published by Elsevier B.V. All rights reserved.
evolutionary programming the ep-based alpha-beta-gamma-delta filter target tracker the alpha-beta-gamma-delta filter the alpha-beta-gamma filter