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- Extended Kalman Fiher (EKF) 广义卡尔曼滤波
- Extended Kalman Fiher(EKF) 扩展卡尔曼滤波器
- Through linearizing the non-linear model we acquire the common method,that is the Extended Kalman Filter (EKF). 最通常的方法是使用扩展卡尔曼滤波(EKF),它只是把所有的非线性模型线性化从而应用传统的线性卡尔曼滤波方法。
- A direct torque control system for IPMSM based on advanced extended Kalman Filter(EKF) has 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。
- Two extended Kalman filtering (EKF) algorithms are designed.One incorporates rate measurement while the other relays on differencing quaternion. 设计了有陀螺测量和基于四元数差分法的无陀螺测量2种广义卡尔曼滤波器(EKF)；
- 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。
- With the same computing complexity,RBUKF can avoid linearization error introduced in the Extended Kalman Filter(EKF) filter,which can induce the f... 基于公共数据集的实验表明该方法估计的最终地图比EKF的方法精度高。
- The Extended Kalman Filter (EKF) is generally used to linearize the state or measure equations of the nonlinear system, and the linear method can be used. 通常的方法是利用扩展卡尔曼滤波方法将非线性系统线性化后，再利用线性系统的方法对有色噪声系统进行估计。
- An extended Kalman filtering (EKF) algorithm is designed for radiolocation in cellular communication system, simulation is conducted to examine its performance. 摘要设计了一种蜂窝系统无线定位中使用的扩展卡尔曼滤波(EKF)算法，对其性能进行了仿真。
- With the observability theorem of nonlinear system and Extend Kalman Filter (EKF), the observability conclusion of the system based on TDOA was discussed. 运用扩展卡尔曼滤波算法，对目标的运动做出了分析。
- Using least square to change 4 gyros system to 3 virtual gyros system, then use extend kalman filter (EKF) to fuse the data of virtual gyros system and star sensor. 数据处理时，利用最小二乘法将四陀螺测量系统构建为一个虚拟三轴正交陀螺，再将虚拟陀螺与星敏感器组成卡尔曼滤波器；
- In the bearings-only passive locating system with single station,the Extended Kalman Filtering(EKF) algorithm is used to diverging when the initial state estimation of the target is of low precision. 只测角单站无源定位跟踪系统中,目标初始状态估计精度较低时,采用扩展卡尔曼滤波算法经常出现滤波发散的情况。
- In order to improve the positioning precision and reliability,extended Kalman filter(EKF),particle filter(PF) and unscented Kalman filter(UKF) algorithms were analyzed respectively. 为了提高组合导航定位系统的定位精度和可靠性,分别对扩展卡尔曼滤波(EKF)、粒子滤波(PF)和U卡尔曼滤波(UKF)3种算法进行了分析。
- Traditional extend Kalman filtering (EKF) method has some disadvantages in Gaussian noise hypothesis and to linearize nonlinear system, but the PF method can conquer such disadvantages of EKF method. 传统扩展卡尔曼滤波(EKF)方法具有高斯噪声假设与非线性系统线性化的缺陷，PF方法可以克服EKF方法的缺点；
- It utilizes extended Kalman filtering to carry out heterogeneous sensor fusion. 采用扩展卡尔曼滤波实现异质传感器融合。
- This algorithm is an extended Kalman filter which adopts the Cartesian coordinates and pseudomeasurements. 通过选取直角坐标及伪测量量构成扩展Kalman滤波。
- 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。
- A camera calibration method based on the Iterated Extended Kalman Filter (IEKF) was proposed in this paper. 本文提出了一种基于迭代扩展卡尔曼滤波的摄像机标定方法。
- Based on the extended Kalman filter,an identification method on physical parameters of bridge structures subjected to stochastic loads is proposed. 基于广义卡尔曼滤波提出了随机荷载作用下桥梁结构物理参数的识别方法。
- With the algorithm of extend Kalman filter, the target motion analysis is discussed. 运用扩展卡尔曼滤波算法，研究了该系统的目标运动分析问题。
