The optimization of parameters for target tracking filter by genetic algorithm and Taguchi method

The paper searches for the parameter optimization of a new fourth-order target tracker α-β-γ-δ filter for numerical simulation as the current third-order α-β-γ filter system tracks only the position and the velocity of a target,rather than the acceleration. although the new fourth-order α-β-γ-δ filter shows a significantly improved tracking accuracy over the conventional α-β-γ filter,more computation time is required in the optimization process. the developed ga-based α-β-γ-δ filter not only could find the optimal set of filter parameters to minimize position tracking errors,but could also reduce the computation time (wu et al.,2009). moreover,taguchi method is applied to finding the optimal set of ga parameters for better tracking accuracy. meanwhile,for more practical applications,the simulated trajectory,such as sin wave,illustrates the filter efficiency in this study. © 2012 pakistan journal of statistics.