摘要
针对探测系统跟踪误差对目标跟踪的影响,提出一种实时递推的最小二乘预测跟踪算法。该算法采用平方预测器的估算方式,获得目标运动轨迹的最佳逼近,通过不断更新的历史数据实时递推轨迹参数,预测下一帧目标位置。该算法采用Matlab软件编写易于工程实现的应用程序,得到仿真的目标真实轨迹与预测轨迹数据。仿真结果表明,该算法可以在系统延迟、目标机动的情况下实时快速地预测目标位置,降低跟踪误差。
To deal with the tracking error of observation system for target tracing,a novel predicted tracking algorithm which is based on least square principle in real-time recursively is presented.The algorithm chooses the square prediction as the estimation method to obtain the optimal approximation of the target motion trajectory.The algorithm updates recursive trajectory parameters based on the historical data in real-time,and then predicts the target position of next frame.The algorithm uses Matlab to program the application which is easy to realize for the practical project.According to an given example,the simulation of real trajectory and predicted trajectory are given.The simulation results show that the algorithm can predict the target position quickly and in real-time in the case of system delay or target maneuver,and reduce the tracking error.
出处
《电子设计工程》
2011年第10期53-55,共3页
Electronic Design Engineering
关键词
最小二乘
平方预测
最佳逼近
系统延迟
目标机动
least square method
square prediction
best approach
system delay
target maneuver
