基于STF的Jerk模型自适应机动目标跟踪算法

Jerk Model and Adaptive Maneuvering Target Tracking Algorithm Based on Strong Tracking Filter

摘要:

在Jerk模型的基础上,提出了一种新的机动目标自适应跟踪算法STF-Jerk。该算法通过引入强跟踪滤波器(STF)的渐消因子,实时调节滤波器增益,增强了系统对突发机动的自适应跟踪能力,从而很好地改善了Jerk模型在跟踪机动目标时的跟踪精度。仿真结果表明,提出的STF-Jerk自适应跟踪算法显著提高了Jerk模型自适应算法的机动目标跟踪性能。

Abstract:

A new adaptive maneuvering target tracking algorithm STF-Jerk has been presented based on the Jerk model. By introducing a fading factor of Strong Tracking Filter (STF), this algorithm improves the adaptive tracking performance greatly when there is a sudden maneuver. Simulation results show that, when there is only common maneuver the performance of the two algorithms is the same, when there is a sudden maneuver, the performance of STF-Jerk is much better than the Jerk.