摘要
为在光电目标跟踪中选择性能最优的非线性卡尔曼滤波提供参考依据,对光电跟踪系统中应用广泛的扩展卡尔曼滤波、无迹滤波和中心差分滤波3种滤波方法,分别在二阶常速、三阶常加速模型和"当前"统计模型下实现的性能进行仿真实验对比和分析。比较和分析结果显示无迹滤波的性能要明显优于另外两种方法;"当前"统计模型下的滤波精度要高于另外两种模型。
In order to provide a reference for selecting optimal nonlinear filter in electro-optical target tracking, the performances of three filtering methods used widely in electro-optical tracking, Extended Kalman Filter（EKF）, Unscented Kalman Filter（UKF） and Central Difference Filter（CDF） are studied. We carried out simulations on performance of the three filtering methods respectively in Constant Velocity（CV） model, Constant Acceleration（CA） model and current statistical model, and also made comparison and analysis. The result illustrated that UKF outperforms the others, and the filter accuracy in current statistical model is better than the others.
出处
《电光与控制》
北大核心
2008年第3期10-13,28,共5页
Electronics Optics & Control
基金
长春光机所三级创新项目
关键词
光电跟踪
非线性状态估计
扩展卡尔曼滤波
无迹滤波
中心差分滤波
electro-optical tracking
nonlinear state estimation
extended Kalman filter
unscented Kalman filter
central difference filter
