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- 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。
- iterated extend Kalman filter 迭代扩展Kalman滤波
- iterated extended kalman filter 粒子滤波
- 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。
- 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；
- Iterated extended kalman particle filtering 迭代扩展卡尔曼粒子滤波器
- 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。
- 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 (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 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。
- 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；
- 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。
- 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 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。
- 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。
- 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。
- The rotor speed can be tacken as a state variable of the system by using the Extended Kalman Filter,which based on the vector control of an asynchronous motor. 在异步电机控制基础上,利用扩展卡尔曼滤波器将转子转速看成系统的一个状态量,根据定子侧可以测量的电流、电压值,逐步估计出转子转速,为研制无速度传感器控制打下基础。
- The results show that the UPF not only solves the linearized loss problem in the extended Kalman filter, but also is more accurate than the PF in the BOT. 仿真结果表明，对于纯方位跟踪问题，UPF不仅解决了扩展卡尔曼滤波器的线性化损失难题，而且与PF等粒子滤波器相比，具有更高的跟踪精度。
- In this paper,a model of estimating the rotor s position and velocity is proposed and used to detect back-EMF of non-conducted phase of BLDCM through Extended Kalman Filter. 从介绍扩展卡尔曼滤波算法原理入手,建立了以不导通相反电势为基础的无位置传感器无刷直流电机的状态观测模型,估算出电机转子位置和速度,最后对模型进行了仿真并给出了仿真结果。
