摘要
为提高强机动目标的跟踪精度,提出一种基于角速度估计值自适应修正的变结构多模型算法。将角速度估计应用于基于有向图切换的变结构多模型目标跟踪算法。通过引入改进的角速度估计方法,提高了角速度的估计精度。在有向图切换的基础上,实时估计角速度,并根据角速度估计值修正有向图,增强了变结构多模型目标跟踪算法的机动适应性。仿真结果表明,该方法在对强机动目标的跟踪性能上有明显提高。
In order to improve the accuracy for tracking high maneuvering target, a turn rate based adaptive amended Variable-Structure Multiple Model （VSMM） algorithm was put forward. The turn rate estimation was applied to the VSMM target tracking algorithm based on directed graph switching. The turn rate estimation accuracy was heightened by introducing an improved estimation method. The turn rate was estimated in real time on the basis of directed graph switching, and the directed graph was amended according to the estimated turn rate. Thus the maneuvering adaptability of the target tracking algorithm was improved. Simulation shows that this algorithm can greatly improve the performance for tracking high maneuvering targets.
出处
《电光与控制》
北大核心
2012年第1期46-49,53,共5页
Electronics Optics & Control
关键词
机动目标跟踪
变结构
交互式多模型
卡尔曼滤波
有向图
maneuvering target tracking
variable structure
interactive multiple model
Kalman filtering
directed graph
