摘要
提出了一种改进的基于当前统计的α-jerk目标机动模型,它假设当目标在某一时刻发生机动时,其下一时刻发生机动的取值是有限的。因此它在建立目标机动的运动模型时,就没有必要考虑机动的所有值。为提高对机动目标的位置跟踪精度,采取了在传统α-jerk目标机动模型的基础上增加一项目标机动的均值,即对目标急动进行非零均值建模,并和α-jerk目标模型仿真对比,仿真结果表明,新算法不仅能够实时估计参数α的值,而且与α-jerk目标机动模型相比,其收敛速度更快。
An improved current-statical α-jerk maneuvering target model is proposed. It assumes that when a target is maneuvering with a certain jerk at present, the region of jerk which can be taken in the next instant is limited. Therefore, it is unnecessary to take all of the jerk values of targets into account during the establishment of statistical model of maneuvering. To improve the position aeeuraney in tracking maneuvering targets, a mean value of jerk is added compared with α-jerk model, that is, modeling the jerk based on the none zero-mean value. The simulation result shows that the proposed algorithm can adaptively estimate the value of parameter α and converges more quickly and has lower estimation error in position compared with α-jerk maneuver model.
出处
《电讯技术》
北大核心
2012年第11期1832-1836,共5页
Telecommunication Engineering