| 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，对目标位置的状态估计更精确 |
| 关键词: 机动目标跟踪 当前统计α-jerk模型 α-jerk模型 收敛速度 状态估计 |
| DOI： |
|
| 基金项目: |
|
| An improved target maneuver model based on current-statical α-jerk |
| QIU An-hong |
| () |
| Abstract: |
| An improved current-statical α-jerk maneuvering target model is p
roposed.It assumes that when a target is maneuvering with a certain jerk at pre
sent,the region of jerk which can be taken in the next instant is limited. There
fore,it is unnecessary to take all of the jerk values of targets into account du
ring the establishment of statistical model of maneuvering. To improve the positio
n accurancy in tracking maneuvering targets，a mean value of jerk is added compa
red with α-jerk model,that is,modeling the jerk based on the none zero-mean v
alue.The simulation result shows that the proposed algorithm can adaptively esti
mate the value of parameter α and converges more quickly and has lower estimati
on error in position compared with α-jerk maneuver model. |
| Key words: maneuvering target tracking current-statical α-jerk model α-jerk model c
onvergency speed state estimation |
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