An Optimal Design of Target Tracker by α-β-γ-δ Filter with Genetic Algorithm

摘要

This study is concerned with a target tracker by α-β-γ-δ filter with genetic algorithm (GA) under numerical simulation. Generally, the third-order tracker of α-β-γ filter solution is presented for the target tracking and predicting problem for years. The filter can track the target's position and velocity, but not the acceleration. In order to improve the tracking accuracy, a new fourth-order target tracker called α-β-γ filter can be explored. As a result, it exhibits significant improvement in tracking accuracy over the α-β-γ filter. Nevertheless, the only weakness of α-β-γ-δ filter is to use much computational time in optimization process. Therefore, a GA optimization of the parameters for α-β-γ-δ is proposed, which the new target tracker is called GA-based α-β-γ-δ filter and it is to reduce in computational time substantially. Meanwhile, the simulation is included to illustrate the analysis.