1) Central difference kalman filter
中心差分Kalman滤波
2) central difference filter(CDF)
中心差分滤波器
1.
We present a novel algorithm that combines an importance sampling with central difference filter(CDF).
本文提出了一种重要性采样跟中心差分滤波器(cen tra l d ifference filter,CDF)相结合的新算法,并对测量更新步的加权粒子集应用基于KD-树的加权期望最大(w e igh ted expecta tion m ax im iza tion,W EM)自适应聚类算法获得表示机器人位姿状态后验密度的高斯混合模型(G au ssian m ixtu re m od e l,GMM)。
3) robust Kalman filter
抗差Kalman滤波
1.
With the effect on the Kalman filter caused by the abnormal of the observations being considered in GPS kinematic positioning, the robust Kalman filter is constructed, and the error influence functions corresponding to the estimation of ambiguity are derived.
对于GPS动态定位数据的处理,按抗差估计原理,构造了状态向量和观测值对模糊度的影响函数,并由此建立了动态GPS定位的抗差Kalman滤波解法。
2.
With the effect on the Kalman filter caused by abnormal of the observations being considered in GPS kinematic positioning, the robust Kalman filter is constructed, and the error influence functions corresponding to the estimation of ambiguity are derived.
按抗差估计原理 ,文中构造了状态向量和观测值对模糊度的影响函数 ,并由此建立了动态GPS定位的抗差Kalman滤波解法。
4) CDKF
中心差分卡尔曼滤波
1.
In view of that there exist some defects when the Extend Kalman Filter(EKF) is employed in the vehicle integrated navigation,the Central Difference Filter(CDKF) as a new nonlinear filtering method is applied to the nonlinear state estimation of the vehicle integrated GPS/DR navigation systems.
针对扩展卡尔曼滤波(EKF)在车辆导航中存在着计算复杂、线性化误差大等缺点,将一种新的非线性滤波方法———中心差分卡尔曼滤波(CDKF)用于车辆GPS/DR组合导航中。
2.
The Central Difference Filter (CDKF) as a new nonlinear filtering method is applied to the nonlinear state estimation of the vehicle integratedGPS/DR navigation systems.
本文将一种新的非线性滤波方法——中心差分卡尔曼滤波(CDKF)刚于车辆GPS/DR组合导航中。
3.
In addition,The Central Difference Filter(CDKF) as a new nonlinear filtering method is applied to the nonlinear state estimation of the vehicle navigation systems.
接着,本文将一种新的非线性滤波方法——中心差分卡尔曼滤波(CDKF)用于车辆导航中,进行了仿真试验研究。
5) central difference Kalman filter(CDKF)
中心差分卡尔曼滤波器
6) distributed kalman filtering
分布式kalman滤波
1.
Characteristics of the distributed kalman filtering algorithm in multi-coordinate sensor systems are analyzed.
分析多坐标系传感器系统中分布式kalman滤波算法的特点。
补充资料：adaptive Kalman filter
分子式：
CAS号：
性质：在利用测量数据进行滤波的同时，不断地由滤波本身去判断系统的动态是否有变化，对模型参数和噪声统计特性进行估计和修正，以改进滤波设计，缩小滤波的实际误差。此种滤波方法将系统辨识与滤波估计有机地结合为一体。
CAS号：
性质：在利用测量数据进行滤波的同时，不断地由滤波本身去判断系统的动态是否有变化，对模型参数和噪声统计特性进行估计和修正，以改进滤波设计，缩小滤波的实际误差。此种滤波方法将系统辨识与滤波估计有机地结合为一体。
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