广义卡尔曼滤波,extended Kalman filter
1)extended Kalman filter广义卡尔曼滤波
1.Identification on physical parameters of bridge structures based onextended Kalman filter;基于广义卡尔曼滤波的桥梁结构物理参数识别
2.In this paper,we proposed an adaptive tracking technique,based onextended Kalman filter approach,to identify the structural parameters and their changes.本文采用了一种基于广义卡尔曼滤波的自适应追踪技术对结构的参数进行辨识。
3.Based on this theextended Kalman filter estim.首先建立了双体卫星模型,并设计了动量轮控制律,在此基础上根据星敏感器的测量信息,应用广义卡尔曼滤波器来估计姿态和角速率漂移误差,进而对伪陀螺和惯性陀螺进行校正。
2)generalized Kalman filter广义卡尔曼滤波
1.The research of the minimum mean-square error of thegeneralized Kalman filter;广义卡尔曼滤波均方误差最小性的研究
2.Thegeneralized Kalman filter is a method which is based on the unknown model system.而广义卡尔曼滤波与卡尔曼滤波相比并不需要系统数学模型已知,具有更强的现实意义。
3.Unlike classical Kalman filter approaches which require a given system model,thegeneralized Kalman filter is a method based on unknown system model.卡尔曼滤波方法是一种应用广泛的估值方法,但其要求系统数学模型已知,而广义卡尔曼滤波与卡尔曼滤波相比并不需要系统数学模型已知,具有更强的现实意义。
3)extended Kalman filtering广义卡尔曼滤波
1.The Extended Kalman Filtering Algorithm Improvement in Orbit Estimation;卫星轨道估计中广义卡尔曼滤波算法改进
2.Twoextended Kalman filtering(EKF) algorithms are designed.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);采用四元数避免了欧拉角法的奇异问题;用高斯-牛顿误差最小法将六维观测量转化为四元数,作为观测量的一部分,显著减少了直接使用EKF的计算量。
4)extended Kalman filter广义卡尔曼滤波器
1.Road identification based onextended Kalman filter;基于广义卡尔曼滤波器的路面辨识
5)extended Kalman filter推广卡尔曼滤波
1.Based on Extended Kalman Filter Position Sensorless Control for Permanent Magnet Synchronous Motor;基于推广卡尔曼滤波的永磁同步电机无位置传感器控制
2.To satisfy the high accuracy of attitude determination for three-axis stabilized geostationary meteorological sat- ellite image navigation,a new approach combined gyro with star sensors is proposed,and a real-time algorithm for aiti- tude estimation combined predictive filter andextended Kalman filter is designed.为了满足三轴稳定静止气象卫星图像导航中姿态确定的高精度要求,提出了陀螺仪和星敏感器的组合定姿方案,并且设计了联合采用预测滤波和推广卡尔曼滤波的实时姿态估计算法。
3.This oaoer oresebts an approach of position sensorle4ss control for permanent magnet synchronous motor(PMSM)based onextended Kalman filter(EKF).介绍了一种基于推广卡尔曼滤波算法的永磁同步电机无位置传感器控制方案。
英文短句/例句
1.Satellite orbit determination with onboard GPS observations based on square root extended Kalman filtering基于平方根推广卡尔曼滤波的星载GPS定轨
2.Based on Extended Kalman Filter Position Sensorless Control for Permanent Magnet Synchronous Motor;基于推广卡尔曼滤波的永磁同步电机无位置传感器控制
3.open Kalman filter formulation开环卡尔曼滤波方程
4.Kalman-Bucy filter卡尔曼-布西滤波器
5.Modified Kalman filter of TDOA in ultrasonic flow measurement超声波流量测量时差改进卡尔曼滤波
6.Direct torque control for electrical propulsion system of ship based on extended Kalman filter基于扩展卡尔曼滤波的船舶电力推进系统直接转矩控制
7.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
8.Kalman Filtering Speech Enhancement Based on Perceptual Weighting基于感知加权滤波的卡尔曼滤波语音增强
9.The Applyment of Kalman Filter Method in Advanced Regional Eta-coordinate Numerical Prediction Model;卡尔曼滤波方法在AREM模式中的应用
10.The Application of Kalman Filter in Term Structure of Interest Rate;卡尔曼滤波在利率期限结构中的应用
11.Application Research of Kalman Filter in Satelliate Navigation;卡尔曼滤波在卫星导航中的应用研究
12.Study on Kalman Filtering in Real Time OD Estimation;实时OD估计中卡尔曼滤波算法研究
13.Speech Enhacement Based on Kalman Filtering基于卡尔曼滤波的语音增强算法研究
14.Study on the Dual-Resolution Approach for Ensemble Kalman Filter双分辨率集合卡尔曼滤波方法的研究
15.An Improved Background Subtraction Algorithm Based on Kalman-Filtering一种改进的卡尔曼滤波背景减除方法
16.Accuracy Analysis of Sigma-Point Kalman FiltersSigma点卡尔曼滤波方法精度分析
17.Weighted Minimum Mean Square Kalman Filter基于加权最小二乘的卡尔曼滤波算法
18.Research on adaptive Kalman filter method for INS惯导系统中自适应卡尔曼滤波的研究
相关短句/例句
generalized Kalman filter广义卡尔曼滤波
1.The research of the minimum mean-square error of thegeneralized Kalman filter;广义卡尔曼滤波均方误差最小性的研究
2.Thegeneralized Kalman filter is a method which is based on the unknown model system.而广义卡尔曼滤波与卡尔曼滤波相比并不需要系统数学模型已知,具有更强的现实意义。
3.Unlike classical Kalman filter approaches which require a given system model,thegeneralized Kalman filter is a method based on unknown system model.卡尔曼滤波方法是一种应用广泛的估值方法,但其要求系统数学模型已知,而广义卡尔曼滤波与卡尔曼滤波相比并不需要系统数学模型已知,具有更强的现实意义。
3)extended Kalman filtering广义卡尔曼滤波
1.The Extended Kalman Filtering Algorithm Improvement in Orbit Estimation;卫星轨道估计中广义卡尔曼滤波算法改进
2.Twoextended Kalman filtering(EKF) algorithms are designed.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);采用四元数避免了欧拉角法的奇异问题;用高斯-牛顿误差最小法将六维观测量转化为四元数,作为观测量的一部分,显著减少了直接使用EKF的计算量。
4)extended Kalman filter广义卡尔曼滤波器
1.Road identification based onextended Kalman filter;基于广义卡尔曼滤波器的路面辨识
5)extended Kalman filter推广卡尔曼滤波
1.Based on Extended Kalman Filter Position Sensorless Control for Permanent Magnet Synchronous Motor;基于推广卡尔曼滤波的永磁同步电机无位置传感器控制
2.To satisfy the high accuracy of attitude determination for three-axis stabilized geostationary meteorological sat- ellite image navigation,a new approach combined gyro with star sensors is proposed,and a real-time algorithm for aiti- tude estimation combined predictive filter andextended Kalman filter is designed.为了满足三轴稳定静止气象卫星图像导航中姿态确定的高精度要求,提出了陀螺仪和星敏感器的组合定姿方案,并且设计了联合采用预测滤波和推广卡尔曼滤波的实时姿态估计算法。
3.This oaoer oresebts an approach of position sensorle4ss control for permanent magnet synchronous motor(PMSM)based onextended Kalman filter(EKF).介绍了一种基于推广卡尔曼滤波算法的永磁同步电机无位置传感器控制方案。
6)EKF推广卡尔曼滤波
1.AnEKF(Extended Kalman Filter) algorithm is discussed which adds PRC(Phase Rate of Change) information.本文探讨了一种融入相位变化率(PRC)信息的推广卡尔曼滤波(EKF)算法,通过仿真,分析了DOA与PRC单独测量与联合测量对定位精度的影响,同时,将融入PRC信息的EKF定位算法与只测角定位算法进行了比较。
2.It also adopts the time-varying sampling modified gain extended Kalman filter(MGEKF),and shipborne ESM equipment of multiple warships are used to distributed bearings-only tracking fusion multiple maritime moving emitters.提出一种基于信息融合的分布式多舰无源定位算法,该算法通过属性关联和空间关联相结合的方法实现了多舰无源传感器的定位关联,并采用时变采样间隔的修正增益推广卡尔曼滤波器,用多条舰艇的舰载电子侦察设备对海上多个运动辐射源目标进行分布式纯方位跟踪融合。
3.UKF solves the problem of non-linearity of observation model better, and its performance is superior to that ofEKF.与推广卡尔曼滤波器(EKF)相比,UKF能更好解决量测模型非线性问题,滤波性能更好,而且UKF的计算量与EKF是同阶的。
延伸阅读
卡尔曼，I.匈牙利作曲家。1882年10月24日生于希欧福克,1953年10月30日卒于巴黎。早年在布达佩斯音乐学院学习，从师H.克斯勒。1908～1938年居住在维也纳，从事轻歌剧创作。法西斯执政后，卡尔曼避居巴黎(1938～1940)。1940年赴美。1949年定居巴黎，直至去世。卡尔曼早期作器乐曲。1909年他的第1部轻歌剧《秋季演习》(曾名《快乐的轻骑兵》，首演于布达佩斯)在维也纳演出,大获成功。他共写有20部轻歌剧,是现代轻歌剧创作的代表者。其音乐富于歌唱性,节奏轻巧,配器色彩鲜明。他的著名的轻歌剧有：《玛丽扎伯爵夫人》(1924)、《马戏公主》(1926)等。
