摘要
基于Jerk模型及当前统计模型提出了一种改进的高机动Jerk模型跟踪算法。在假设机动加速度变化率(即加加速度)为非零均值指数相关随机过程的基础上,引入了关于加加速度变化趋势的修正项,从而进一步提高了目标跟踪精度。最后,通过Matlab仿真实验证明了该模型跟踪算法的优越性和有效性。
Based on Jerk model and current statistical model, an improved highly maneuvering Jerk model is proposed for target tracking. On the basis of the assumption that the Jerk is a random process exponentially correlated with non-zero mean, the rate of Jerk is used to improve the tracking accuracy. Finally, the superiority of the improved Jerk model over the ordinary Jerk model and CS-Jerk model is illustrated through Matlab simulation.
出处
《电光与控制》
北大核心
2013年第5期40-43,共4页
Electronics Optics & Control
关键词
目标跟踪
JERK模型
当前统计模型
高机动
target tracking
Jerk model
current statistical model
highly maneuvering
