扩展卡尔曼滤波器(EKF),Extended Kalman filter
1)Extended Kalman filter扩展卡尔曼滤波器(EKF)
2)extended Kalman filter(EKF)扩展卡尔曼滤波(EKF)
英文短句/例句
parison between Unscented Kalman Filter and Extended Kalman Filter method in Nonlinear Estimation非线性估计中无味滤波(UKF)与扩展卡尔曼滤波(EKF)之比较研究
2.Research of Comparative Analysis of Extended kalman Filter and Particle Filter扩展卡尔曼滤波和粒子滤波算法性能比较研究
3.Estimation for Carrier Parameters Based on the Extended Kalman Filter扩展卡尔曼滤波估计载波参数的算法研究
4.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。
5.EKF Based Acoustic Sensor Tracking Algorithm基于扩展卡尔曼滤波的声传感器跟踪算法
6.Asynchronous Motor Parameter Identification Based on EKF;基于扩展卡尔曼滤波算法的异步电机参数辨识
7.A Neural Network Learning Algorithm Based on the Extended Kalman Filter Applied to Stock Prediction;扩展卡尔曼滤波神经网络算法在股市的应用
8.Cooperative Multi-robot Localization Based on EKF;基于扩展卡尔曼滤波的多机器人协作定位
9.Research on Extend Kalman Filter at Low Speed in Sensorless PMSM Drives扩展卡尔曼滤波的PMSM无传感器低速性能研究
10.Sensorless control of three-level inverter-fed induction motor using a Kalman filter and sliding mode control三电平扩展卡尔曼滤波异步电机滑模控制
11.Learning Algorithm Based on Extended Kalman Filter for Functional Link Artificial Neural Networks基于扩展卡尔曼滤波的FLANN网络学习算法
12.Particle swarm optimized extended kalman particle filter algorithm一种粒子群优化扩展卡尔曼粒子滤波算法
13.Integrated Navigation Algorithm Based on IMM-EKF基于多模型扩展卡尔曼滤波的组合导航算法
14.Maneuvering Target Tracking based on Extended Kalman Filter基于扩展卡尔曼滤波的机动目标航迹跟踪
15.Electrostatic Target Tracking Based on Improved Extended Kalman Filter基于改进扩展卡尔曼滤波算法的静电目标跟踪
16.Extended Kalman Filter for Γ~(-1)-Type Model of Induction Motor异步电动机在Γ~(-1)模型下的扩展卡尔曼滤波器
17.Estimation of CG Sideslip Angle Based on Extended Kalman Filter基于扩展卡尔曼滤波的汽车质心侧偏角估计
18.Extended Kalman Filter Method for High Dynamic Doppler Frequency Shift Estimation基于扩展卡尔曼滤波的高动态多普勒频移估计
相关短句/例句
extended Kalman filter(EKF)扩展卡尔曼滤波(EKF)
3)extended Kalman filter (EKF)扩展卡尔曼滤波(EKF)
1.In state estimation of satellite attitude determination, both traditional extended Kalman filter (EKF) and the proposed nonlinear predictive filter (NPF) have their own merits and defects.在确定卫星姿态确定的状态估计法中,经典的扩展卡尔曼滤波（EKF）和新提出的非线性预测滤波（NPF）这两种实时滤波算法各有优缺点。
4)EKF扩展卡尔曼滤波(EKF)
5)exlended Kalman filter(EKF)扩展卡尔滤波(EKF)
6)extended kalman filter扩展卡尔曼滤波器
1.Application of extended Kalman filter to permanent-magnet synchronous motor control system;扩展卡尔曼滤波器在永磁同步电机控制中的应用
2.Use of the Extended Kalman Filter to Improve the Delay Locked Loop IN GPS;GPS中使用扩展卡尔曼滤波器改进的延迟锁定环
3.Research on the Direct Torque Control System for Permanent Magnet Synchronous Motors Based on Extended Kalman Filter;基于扩展卡尔曼滤波器的永磁同步电机直接转矩控制系统的研究
延伸阅读
卡尔曼滤波器分子式：CAS号：性质：它是随机系统中一种最著名的最优状态估计器。估计的要求是滤去随机分量使状态估计值x与真实状态值x尽量接近。其结构与状态估计器相似，由模型输出估计值y与实测输出相比较所得的误差，通过校正矩阵来对状态估计值x进行在线校正。但因卡尔曼滤波器的目标函数是状态估计值和真实值误差的二次型函数，从而可求得其最优估计的校正矩阵。
