EKF
- 网络扩展卡尔曼滤波(Extended Kalman Filter)；扩展卡尔曼滤波器；扩展卡尔曼滤波算法
EKFEKF
扩展卡尔曼滤波(Extended Kalman Filter)
扩展卡尔曼滤波(ekf):卡尔曼滤波是由r.e. kalman在六十年代初提出的一种最小方差意义上的最优预测估计的方法，它的突出特 …
扩展卡尔曼滤波器
在扩展卡尔曼滤波器（EKF）中状态转换和观测模型不需要是状态的线性函数，可替换为（可微的）函数。The sigma points ar…
扩展卡尔曼滤波算法
一种是扩展卡尔曼滤波算法(EKF)，它对非线性系统进行局部线性化，从而间接利用卡尔曼滤波算法进行滤波与估算，只适用于 …
卡尔曼滤波滤波器(extended Kalman filtering)
...nd[3]的工作为基础，采用增广的系统空间，运用 EKF（Extended kalman filtering）对机器人位置和特征(路标) 位置进行同时 …
扩展型卡尔曼滤波器
目前基于四元数的扩展型卡尔曼滤波器(EKF)是一个很受欢迎的传感器整合方案，因为四元数只有4个元素，而旋转矩阵有9个元 …
1
However, the linearization of EKF causes error which influences the accuracy of the system.
但是EKF的线性化会带来截断误差，从而影响系统定位精度。
2
Simulations show that the new filter is far better than EKF in nonlinear and non-Gaussian systems.
仿真试验表明，新方法在非线性非高斯情况下要远远好于EKF。
3
Simulation was carded out to compare SIT with UT-BLUE and EKF, the results indicated that the new filter is more effective.
通过仿真，将强跟踪滤波与UT-BLUE滤波方法和EKF滤波方法进行比较，结果表明了该滤波方法的有效性和优越性。
4
The focus of this dissertation is in chapter three- application of EKF estimator in speed-sonserless vector control system of IM.
本论文的核心是第三章——基于卡尔曼滤波估计的无速度传感器矢量控制系统。
5
The performances of the extended kalman filter(EKF) and the unscented kalman filter(UKF)in constant velocity( CV ) model are compared.
比较了跟踪系统中扩展卡尔曼滤波、无迹滤波在二阶常速（CV）统计模型下实现的性能。
6
A simulation of a typical model is presented to compare the performances of BSF and EKF.
最后基于一个典型的非线性模型对BSF和EKF进行了仿真比较。
7
Applicable situations of EKF is then analyzed via simulation, and factors that may impact on the performance of EKF is discussed.
并结合仿真实验阐述了EKF算法的适用范围，指出收敛系数和信标个数对算法的性能影响较大。
8
Meanwhile, the author did MATLAB simulation for the extend Kalman filtering (EKF)and UKF algorithms.
用MATLAB对扩展卡尔曼滤波（EKF）及UKF算法进行了系统仿真；
9
An extended Kalman filter (EKF) algorithm is used to estimate the relative position and velocity of the target.
最后，采用扩展卡尔曼滤波（EKF）算法解算目标的相对位置和速度。
10
The EKF algorithm is adopted to solve the nonlinear measurement function with radome slope interference.
采用EKF算法，对包含天线罩误差的非线性观测方程进行线性化处理；
11
An accurate EKF observer was studied which estimates angular speed and position of the rotor, stator flux linkage and torque of IPMSM.
EKF对永磁同步电动机的转子位置、角速度、定子磁链和转矩进行了精确参数估计。
12
Compared with PLS and EKF algorithm, the modified algorithm can estimate motion more accurately in real-time.
结果表明，此算法不但能即时地估计运动参数，而且还具有良好的稳定性和准确性。
13
SLAM is completed by fusing the information of SIFT features and robot information with EKF.
应用扩展卡尔曼滤波器融合SIFT特征信息与机器人位姿信息完成SLAM。
14
This algorithm has its theory basis consisted of Bayesian theory and UT transform, and implements according to the frame of EKF.
该算法是一种以扩展卡尔曼滤波算法为基本框架，以贝叶斯理论和UT变换为理论基础的新型滤波算法。
15
To the pole orbit micro-satellite, this paper provides a modified EKF arithmetic based on magnetometer individually.
针对极轨微小卫星，提出了一种基于磁强计的改进EKF算法。
16
A direct torque control system for IPMSM based on advanced extended Kalman filter (EKE) had been proposed.
提出了一种基于改进的扩展卡尔曼滤波器（EKF）的永磁同步直接转矩控制方法。
17
By using EKF, this algorithm can obtain better location performance.
运用卡尔曼滤波器，这种算法可以获得很好的定位效果。
18
Numerical simulation shows that the REKF is more accurate than the EKF for spacecraft navigation in the presence of pulsar's position error.
仿真结果表明，存在星表误差的情况下，采用REKF算法进行航天器导航，能够获得优于EKF的定位精度。
19
The issue of pose state estimate of mobile robots based on extended Kalman filter (EKF) and particle filter is studied.
研究了基于扩展卡尔曼滤波和粒子滤波的移动机器人位姿估计。
20
To conquer the limitation, based on EKF and wavelet transform, presented a multi-scale diagnosing method.
针对这一不足，提出了一种基于EKF和小波变换的多尺度诊断方法；
21
The method is compared with the EKF method through an example.
最后通过算例比较了本方法与EKF方法。
22
Simulations results show that the error convergence speed and accuracy of NN when trained by PF is better then by BP and EKF;
仿真结果表明：在神经网络训练误差收敛速度及精度方面，粒子滤波要比BP及卡尔曼滤波要好；
23
Estimation of Rotor Position and Velocity of Brushless DC Motor with an EKF Method
用扩展卡尔曼滤波器估计无刷直流电机转子位置和转速
24
Estimates of rotor position and velocity of brushless DC motors with an EKF
用EKF估计无刷直流电动机转子位置和转速
25
EKF Angle Tracking Algorithm for Maneuvering Target by a Fixed Observer
静止观测站下机动目标的推广卡尔曼角度跟踪算法
26
the extended Kalman filter (EKF) algorithm is employed to linearize the non-linear system for each model;
每个模型都采用扩展卡尔曼滤波（EKF）对非线性系统线性化；
27
Application of EKF on Identification of Multivariate Chaotic Time Series
EKF在多变量混沌序列辨识中的应用
28
Application of the improved EKF algorithm in target tracking
改进的EKF算法在目标跟踪中的运用
29
Identification of parameters in lumped-parameter model of layered-soil by using improved EKF method
利用改进的EKF滤波技术识别成层土集总参数模型的参数
30
Study of EKF Application Based on Tracking of Flight Path
基于航迹跟踪的EKF应用研究