1) unscented Kalman filter(UKF)
平淡卡尔曼滤波
1.
Using unscented Kalman filter(UKF) algorithm implements the position estimation under the condition of only three received satell.
开发了一种新的基于非线性滤波的位置和速度估计模型,在测量模型中引入随位置变化的电离层误差补偿模型,利用平淡卡尔曼滤波(UKF)算法较好地实现了可见卫星为3颗条件下的定位估计。
2.
In view of the problem that the linearization process of extended Kalman filter(EKF) can introduce some errors into the system,the unscented Kalman filter(UKF) was utilized to design the system.
针对扩展卡尔曼滤波(EKF)在线性化过程中会引入误差的问题,采用平淡卡尔曼滤波器(UKF)进行了系统滤波器设计;提出一种构建虚拟观测量的方法,并分析了其噪声特性。
3.
To improve the calculation speed of high accuracy positioning estimation of global positioning system(GPS),four nonlinear filtering algorithms were described and compared in theory,which are unscented Kalman filter(UKF) and its modified algorithm,spherical unscented Kalman filter(SUKF) and its modified version.
为了提高全球定位系统(GPS)高精度定位的解算速度,从原理上比较了平淡卡尔曼滤波(UKF)及其改进算法和超球面平淡卡尔曼滤波(SUKF)及其改进型等非线性滤波估计算法,提出了将SUKF的改进型算法应用于单机GPS的定位估计。
2) unscented Kalman filter
平淡卡尔曼滤波
1.
The adaptive extended Kalman filter and unscented Kalman filter(UKF) were designed for fine alignment.
首先利用电子罗盘辅助加速度计完成粗对准,然后,分别设计了自适应扩展卡尔曼滤波器和平淡卡尔曼滤波器(UKF)用于精对准。
3) spherical unscented Kalman filter(SUKF)
超球面平淡卡尔曼滤波
1.
To improve the calculation speed of high accuracy positioning estimation of global positioning system(GPS),four nonlinear filtering algorithms were described and compared in theory,which are unscented Kalman filter(UKF) and its modified algorithm,spherical unscented Kalman filter(SUKF) and its modified version.
为了提高全球定位系统(GPS)高精度定位的解算速度,从原理上比较了平淡卡尔曼滤波(UKF)及其改进算法和超球面平淡卡尔曼滤波(SUKF)及其改进型等非线性滤波估计算法,提出了将SUKF的改进型算法应用于单机GPS的定位估计。
4) Spherical Unscented Kalman Filter (SUKF)
超球面平淡卡尔曼滤波(SUKF)
5) Kalman filter/smoother
卡尔曼滤波/平滑
6) Kalman smoother filter
卡尔曼平滑滤波
补充资料：卡尔曼滤波
见波形估计。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条