柯宏发, 何可, 陈永光. 运动目标的MGM(1,N)轨迹预测算法[J]. 武汉大学学报 ( 信息科学版), 2012, 37(6): 662-666.
引用本文: 柯宏发, 何可, 陈永光. 运动目标的MGM(1,N)轨迹预测算法[J]. 武汉大学学报 ( 信息科学版), 2012, 37(6): 662-666.
KE Hongfa, HE Ke, CHEN Yongguang. Trajectory Prediction Algorithm of Moving Object Based on MGM(1,N)[J]. Geomatics and Information Science of Wuhan University, 2012, 37(6): 662-666.
Citation: KE Hongfa, HE Ke, CHEN Yongguang. Trajectory Prediction Algorithm of Moving Object Based on MGM(1,N)[J]. Geomatics and Information Science of Wuhan University, 2012, 37(6): 662-666.

运动目标的MGM(1,N)轨迹预测算法

Trajectory Prediction Algorithm of Moving Object Based on MGM(1,N)

  • 摘要: 针对武器装备实验与训练活动中无人机等运动目标位置测量数据少、概率分布未知的工程背景,提出了一种基于MGM(1,N)模型的轨迹预测方法,建立了针对运动目标3个位置坐标的MGM(1,3)模型。数值仿真结果表明,基于MGM(1,N)模型的运动目标轨迹预测方法合理可行,可以预测该周期内任一时刻的位置信息。

     

    Abstract: Considering the practical background of few data and unpredictable probability distribution in the domain of equipments test and training,a novel trajectory prediction method based on MGM(1,N) model was proposed to predict the location of moving object such as unmanned aerial vehicle.Firstly,the principle of MGM(1,N) model and the parameters estimation algorithm were introduced.Then a MGM(1,3) model for 3 location coordinates of a moving object was carried out and the implementation steps was illustrated accordingly.Finally the simulation through the aviation data of an unmanned air vehicle was utilized to prove the validity of such method.The simulation results show that the proposed approach is feasible and effective,which can predict the location information of any time in the next period with high prediction precision.

     

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