摘要
提出一种运动目标的超前预测跟踪方法。首先建立运动目标的"当前"统计模型,然后采用卡尔曼滤波的方法对目标的运动状态进行超前预测跟踪,将卡尔曼滤波的先验预估值作为目标的运动状态预测值,可提前一步预测目标的运动状态,从而克服跟踪的滞后。仿真结果表明超前预测跟踪对目标位置有较好的预测效果。
A new method of predictive tracking for moving targets is proposed. The current statistical model of targets is built, and the moving states of the next sampling time are predicted by Kalman filter. The prior estimate of Kalman filter is taken as the predictive states of targets. The one-step ahead predictive states of targets can overcome the lag of tracking. The simulation results are provided to verify the performance of the predictive tracking method.
出处
《科技视界》
2015年第32期78-78,157,共2页
Science & Technology Vision
基金
湖北省教育厅科研计划项目(Q20121103)
