基于固定延迟平滑算法的机动目标跟踪方法

Tracking a Maneuvering Target Combining Fixed Lag Smoothing and Square Root UKF Algorithm

为进一步提高机动目标的跟踪精度和估值算法的数值稳定性,文章基于平方根UKF(square root UKF:SR-UKF)和固定延迟平滑算法(fixed-lag smoothing)提出一种新的固定延迟平方根UKS算法(fixed-lag square root unscentedkal man smoothing:FL-SR-UKS)。数值仿真说明该算法可以有效处理机动目标跟踪问题,且状态估值精度优于SR-UKF。

For improving the tracking accuracy of maneuvering target and increasing the numerical stability of estimation algorithm,a new method,which is fixed-lag square root unscented Kalman smoothing,has been presented based on SR-UKF algorithm and fixed lag smoothing.Numerical simulation is given,which demonstrates that this method can efficiently solve the maneuvering tracking problems,and the accuracy of states estimation is better than that by SR-UKF.