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基于固定延迟平滑算法的机动目标跟踪方法
引用本文:吴伟. 基于固定延迟平滑算法的机动目标跟踪方法[J]. 舰船电子工程, 2010, 30(3): 63-66,88
作者姓名:吴伟
作者单位:解放军电子工程学院,合肥,230037
摘    要: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。

关 键 词:机动目标跟踪  平方根UKF  固定延迟平滑算法  卡尔曼滤波

Tracking a Maneuvering Target Combining Fixed Lag Smoothing and Square Root UKF Algorithm
Wu Wei. Tracking a Maneuvering Target Combining Fixed Lag Smoothing and Square Root UKF Algorithm[J]. Ship Electronic Engineering, 2010, 30(3): 63-66,88
Authors:Wu Wei
Affiliation:Wu Wei(Electronic Engineering Institute of PLA,Hefei 230037)
Abstract: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.
Keywords:maneuvering target tracking  square root UKF  fixed lag smoothing  Kalman filtering
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