摘要
为了提高机场场面监视的可靠性以及监视数据的连续性,本文采用匀速运动(Constant Velocity,CV)、匀加速运动(Constant Acceleration,CA)和匀速转弯运动(Constant Turning,CT)三种运动模型,将交互式多模式算法(Interacting Multiple Model,IMM)与粒子滤波算法(Particle Filter,PF)相融合,充分发挥两种算法的优点,并结合机场地图信息分别对观测信息和估计输出结果进行修正,进一步提高机场场面移动目标跟踪的精度。仿真实验结果表明,本文提出的IMM-PF改进算法在机场场面移动目标跟踪的应用中具有更大的可行性和优越性。
In order to improve the reliability of airport surface surveillance and the integrity of surveillance data,this paper adopts three motion models including the constant velocity(CV) model,the constant acceleration(CA) model and the constant turning(CT) model and uses two algorithms(tbe interacting multiple model(IMM) algorithm and the particle filter(PF) algorithm) in combination.Besides,the airport map information is utilized to amend the measured data and the output estimates so as to further improve the accuracy of airport surface moving target tracking.Numerical simulations show that the improved algorithm described in this paper is more feasible and effective in tracking the airport surface moving targets.
出处
《中国民航飞行学院学报》
2016年第2期58-61,65,共5页
Journal of Civil Aviation Flight University of China
关键词
机场场面
移动目标跟踪
机场地图信息
交互式多模式
粒子滤波
Airport surface
Moving target tracking
Airport map information
Interacting multiple model(IMM)
Particle filter(PF)