文摘
This study explores a new fourth-order target-tracking x3b1;–x3b2;–x3b3;–x3b4; filter using an evolutionary programming (EP) for numerical simulation in view that the current third-order x3b1;–x3b2;–x3b3; filter system tracks only the target's position and velocity but not its acceleration. As demonstrated, the new x3b1;–x3b2;–x3b3;–x3b4; filter exhibits a significantly improved tracking accuracy over the conventional x3b1;–x3b2;–x3b3; filter. Not unexpectedly, however, the new x3b1;–x3b2;–x3b3;–x3b4; 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 x3b1;–x3b2;–x3b3;–x3b4; 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 x3b1;–x3b2;–x3b3;–x3b4; filter is compared with those by other filters to illustrate the efficiency of the former filter.