1) Unscented particle filter
Unscented粒子滤波
1.
To solve the problem of low precision characters and non-Gaussian distribution noise of the micro-satellite attitude determination system,UPF(Unscented particle filter) was proposed.
针对基于微小卫星姿态确定系统精度低和噪声存在非高斯分布的情况,研究了适用于该定姿系统的Unscented粒子滤波(UPF,Unscented Particle Filter)算法。
2.
Unscented particle filter is applied to estimate the parameters of AR model and filter color noises.
针对含有色噪声的语音,提出了一种基于Unscented粒子滤波的单通道语音增强方法。
2) Square-Root UPF
平方根Unscented粒子滤波
4) unscented Kalman filter
Unscented Kalman滤波
1.
Then,unscented Kalman filter was introduced to estimate the time varying coefficients.
用时变ARMA模型描述地震动时程,提出了采用Unscented Kalman滤波技术实现地震动瞬时谱估计的思路。
5) 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。
6) 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。
补充资料：初级粒子和原级粒子
分子式：
CAS号：
性质：又称初级粒子和原级粒子。利用各种化学反应方法得到的最初粒子(晶粒)。一次粒子的大小约为0.005～1μm，比筛分的极限小得多，在介质中有相当高的稳定性。
CAS号：
性质：又称初级粒子和原级粒子。利用各种化学反应方法得到的最初粒子(晶粒)。一次粒子的大小约为0.005～1μm，比筛分的极限小得多，在介质中有相当高的稳定性。
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