1) unscented Kalman filter
Unscented卡尔曼滤波器
1.
This paper proposes a new particle filter which is based on the extended Kalman filter and the Unscented Kalman filter.
首先用Unscented卡尔曼滤波器产生系统的状态估计,然后用扩展卡尔曼滤波器重复这一过程并产生系统在k时刻的最终状态估计。
2.
In this paper,Unscented Kalman filter was proposed to estimate the unknown parameters and the unobservable state variables simultaneously.
该文采用Unscented卡尔曼滤波器估计信号转导通路未知参数与模型不可观测状态。
2) Rao-Blackwellised Unscented Kalman Filter(RBUKF)
Rao-Blackwellised Unscented卡尔曼滤波器
3) UKF
unscented卡尔曼滤波
1.
Two methods are unscented Kalman filter(UKF) and particle filter(PF).
为了获得更高的估计精度,介绍了两种新的非线性滤波算法,即unscented卡尔曼滤波算法和粒子滤波算法。
2.
The unscented Kalman filtering(UKF) is used to design the unscented Kalman filter of relative states determination of formation flying .
首先给出了相对轨道和相对姿态动力学方程,选取相对姿态基准坐标系,然后分别建立了星敏感器和GPS伪距差分的观测方程,运用Unscented卡尔曼滤波方法(UKF)设计了双星编队相对状态确定的UKF滤波器。
3.
To correct systematic errors and time errors of ground based radar,a space-time registration algorithm of ground based radar networking in 3-dimension coordinate based on Unscented Kalman Filter (UKF)is suggested.
为消除地面雷达的系统误差和时间误差,提出了基于Unscented卡尔曼滤波(UKF)的三维空间地面雷达网的时空配准方法。
4) Unscented Kalman filter
Unscented卡尔曼滤波
1.
Geomagnetic aided integrated navigation method based on Unscented Kalman filter
基于Unscented卡尔曼滤波器的地磁辅助组合导航
2.
Due to the nonlinear of direct drive system,a novel states estimation approach—unscented Kalman filter(UKF)is applied in the nonlinear states estimation for the sensorless control of PMLSM.
针对直线电机直接驱动系统具有强非线性,将一种新的滤波方法——Unscented卡尔曼滤波(UKF)应用于直线电机无位置传感器驱动系统的非线性状态估计中。
3.
Unscented Kalman filter state estimates of the nonlinear system by constructing a set of sample points,which has the same known first and second moments,may be higher moments with the state.
Unscented卡尔曼滤波(UKF)通过构造一组,具有与给定状态估计相同的一、二阶矩,也可能是高阶矩的样本点,实现对非线性系统的状态估计,因此其计算效率取决于能够捕获这些数字特征的样本点数目。
5) unscented Kalman filter(UKF)
Unscented卡尔曼滤波
1.
This filter was composed of two sub-filters: a Kalman filter and an unscented Kalman filter(UKF),and they were respectively used to process the information that came from GPS sub-system and the DR sub-system.
子滤波器由两个滤波器构成:一个是卡尔曼滤波器,另一个是Unscented卡尔曼滤波器(UKF),它们分别处理GPS子系统和DR子系统的信息。
2.
,Extended Kalman Filter(EKF),Unscented Kalman Filter(UKF),and Particle Filter(PF),are studied here.
通过分析3种常用的非线性滤波器:扩展卡尔曼滤波器、Unscented卡尔曼滤波器以及粒子滤波器的原理,确定其适用性。
6) unscented Kalman filtering
unscented卡尔曼滤波
1.
In Unscented Kalman filtering, the updating of the filtering based on the nonlinear system equation was realized by designing a few sigma points and calculating the propagation of these sigma points via non-linear functions.
针对大地坐标系下,超视距目标状态方程和量测方程复杂的非线性,提出了一种基于Unscented卡尔曼滤波的超视距目标跟踪。
2.
Then the unscented Kalman filtering is used to realize the relative states autonomous determination.
采用修正罗德里格参数(MRPs)作为姿态描述参数,通过建立相对轨道和相对姿态运动方程以及GPS和陀螺观测方程,运用unscented卡尔曼滤波方法(UKF)设计了双星编队相对状态自主确定算法,仿真结果验证了方法的可行性和有效性。
补充资料：卡尔曼滤波器
分子式：
CAS号：
性质：它是随机系统中一种最著名的最优状态估计器。估计的要求是滤去随机分量使状态估计值x与真实状态值x尽量接近。其结构与状态估计器相似，由模型输出估计值y与实测输出相比较所得的误差，通过校正矩阵来对状态估计值x进行在线校正。但因卡尔曼滤波器的目标函数是状态估计值和真实值误差的二次型函数，从而可求得其最优估计的校正矩阵。
CAS号：
性质：它是随机系统中一种最著名的最优状态估计器。估计的要求是滤去随机分量使状态估计值x与真实状态值x尽量接近。其结构与状态估计器相似，由模型输出估计值y与实测输出相比较所得的误差，通过校正矩阵来对状态估计值x进行在线校正。但因卡尔曼滤波器的目标函数是状态估计值和真实值误差的二次型函数，从而可求得其最优估计的校正矩阵。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
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