An Optimal Design of Target Tracker by alpha-beta-gamma-delta Filter with Genetic Algorithm

作者：Wu Chun Mu^*; Chang Ching Kao; Chu Tung Te

来源：Journal of the Chinese Society of Mechanical Engineers, 2009, 30(6): 467-473.

• target tracker
• genetic algorithm
• alpha-beta-gamma-delta filter
• GA-based alpha-beta-gamma-delta filter

This study is concerned with a target tracker by alpha-beta-gamma-delta filter with genetic algorithm (GA) under numerical simulation. Generally, the third-order tracker of alpha-beta-gamma 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 alpha-beta-gamma-delta filter can be explored. As a result, it exhibits significant improvement in tracking accuracy over the alpha-beta-gamma filter. Nevertheless, the only weakness of alpha-beta-gamma-delta filter is to use much computational time in optimization process. Therefore, a GA optimization of the parameters for alpha-beta-gamma-delta is proposed, which the new target tracker is called GA-based alpha-beta-gamma-delta filter and it is to reduce in computational time substantially. Meanwhile, the simulation is included to illustrate the analysis.

• 出版日期2009-12