无味卡尔曼滤波器,unscented Kalman filter
1)unscented Kalman filter无味卡尔曼滤波器
1.By analyzing the error ofunscented Kalman filter(UKF),the iterated UKF(IUKF) algorithm is proposed.通过对无味卡尔曼滤波器(Unscented Kalman filter,UKF)的误差进行分析,提出了迭代UKF(IUKF)算法。
2)unscented Kalman filter无味卡尔曼滤波
1.Then we studied the tracking problem of multiple maneuvering targets by using the combination of interacting multi-model andunscented Kalman filter algorithm.在此基础上,采用交互式多模型算法和无味卡尔曼滤波相结合的方法研究了多机动目标的跟踪问题。
2.Unscented Kalman filter was chosen as the relative navigation filter.首先建立了适用于目标航天器运行在椭圆轨道上的二阶状态方程;分析了2个航天器间的量测几何关系并得到量测方程;采用适用于处理复杂非线性模型的无味卡尔曼滤波器进行相对导航计算。
3.Theunscented Kalman filter(UKF) is applied to the radar registration and a new algorithm for the multi-radar azimuth registration is presented.将无味卡尔曼滤波(U nscen ted K a lm an filter,UKF)应用于雷达配准,提出一种新的多雷达方位配准算法。
英文短句/例句
1.Spherical Simplex Unscented Kalman Filter for Spacecraft Attitude Estimation单球无味卡尔曼滤波在飞船姿态估计中的应用
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
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.Less Computional Filter in the Integrated Navigation of the Rotorcraft Unmanned Aerial Vechile无人直升机导航系统改进型的Unscented卡尔曼滤波
6.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
7.Method for radar target tracking based on sequential unscented Kalman filter基于序贯无迹卡尔曼滤波的雷达目标跟踪方法
8.Gyroscope-free Strapdown Inertial Navigation System Using Kalman Filtering卡尔曼滤波在无陀螺捷联惯导系统中的应用
9.Application of Modified Unscented Kalman Filter Algorithm in GPS System改进无色卡尔曼滤波算法在GPS系统中的应用
10.Design of a GPS-aided INS Based on Kalman Filter基于卡尔曼滤波的无人机组合导航系统设计
11.Study of Derivative-Free Kalman Filting on nonlinear estimation for GPSGPS非线性估计中无导数卡尔曼滤波研究
12.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
13.A Sensorless Direct Torque Control Scheme for a Permanent Magnet Synchronous Motor Based on Unscented Kalman Filter基于无迹卡尔曼滤波的永磁同步电机无传感器直接转矩控制
14.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
15.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
16.Study on Sensorless Control of PMSM Based on the Theory of Extended Kalman Filter;基于扩展卡尔曼滤波的永磁同步电机无传感器调速系统的研究
17.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
18.Sensorless Control of Permanent Magnet Synchronous Machine Based on High Frequency Signal Injection and Kalman Filter;基于高频注入和卡尔曼滤波的永磁同步电机无传感器控制
相关短句/例句
unscented Kalman filter无味卡尔曼滤波
1.Then we studied the tracking problem of multiple maneuvering targets by using the combination of interacting multi-model andunscented Kalman filter algorithm.在此基础上,采用交互式多模型算法和无味卡尔曼滤波相结合的方法研究了多机动目标的跟踪问题。
2.Unscented Kalman filter was chosen as the relative navigation filter.首先建立了适用于目标航天器运行在椭圆轨道上的二阶状态方程;分析了2个航天器间的量测几何关系并得到量测方程;采用适用于处理复杂非线性模型的无味卡尔曼滤波器进行相对导航计算。
3.Theunscented Kalman filter(UKF) is applied to the radar registration and a new algorithm for the multi-radar azimuth registration is presented.将无味卡尔曼滤波(U nscen ted K a lm an filter,UKF)应用于雷达配准,提出一种新的多雷达方位配准算法。
3)unscented kalman filtering无味卡尔曼滤波
1.The problem of target motion analysis based on bearing and Doppler measurements(BDO-TMA)is studied contrastively by means ofunscented kalman filtering(UKF)and extended kalman filtering(EKF)algorithms.针对空对海单站无源只测方位-多普勒目标运动分析(BDO-TMA)问题应用无味卡尔曼滤波(UKF:Unscented Kalman Filtering)和EKF进行了对照研究,建立了该应用场景下的离散非线性滤波估计模型,Monte Carlo仿真运行结果表明,UKF在该应用背景下是切实可行的,具有更高的估计精度和更强的收敛特性。
2.Simulation study based onunscented kalman filtering for the impact of data rate in the bearing-only target motion analysis;应用无味卡尔曼滤波(UKF)来解决只测方位目标运动分析(BO-TMA)问题,研究了其中数据率因素的实际影响。
4)unscented Kalman filter无偏卡尔曼滤波器
1.Because nonlinear model need to be linearized when using extended Kalman filter(EKF),but the gas pipelines model is a severely nonlinear model,a method for leaking detection and location of gas pipelines based onunscented Kalman filter(UKF)was presented.针对扩展卡尔曼滤波器(EKF)对非线性模型进行状态估计时,需要将非线性模型进行线性化,而天然气管道模型的非线性程度十分严重的情况,提出一种基于无偏卡尔曼滤波器(UKF)估计的管道泄漏检测与定位方法。
5)dual unscented Kalman filter双无轨迹卡尔曼滤波器
6)Unscented Kalman Filter(UKF)无迹卡尔曼滤波器
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。