Unscented卡尔曼滤波器,unscented Kalman filter
1)unscented Kalman filterUnscented卡尔曼滤波器
1.This paper proposes a new particle filter which is based on the extended Kalman filter and the Unscented Kalman filter.首先用Unscented卡尔曼滤波器产生系统的状态估计,然后用扩展卡尔曼滤波器重复这一过程并产生系统在k时刻的最终状态估计。
2.In this paper,Unscented Kalman filter was proposed to estimate the unknown parameters and the unobservable state variables simultaneously.该文采用Unscented卡尔曼滤波器估计信号转导通路未知参数与模型不可观测状态。
英文短句/例句
1.Design of unscented Kalman filter with noise statistic estimator带噪声统计估计器的Unscented卡尔曼滤波器设计
2.Geomagnetic aided integrated navigation method based on Unscented Kalman filter基于Unscented卡尔曼滤波器的地磁辅助组合导航
3.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
4.Application of Unscented Kalman Filter in Geomagnetic Navigation for Aerodynamic MissileUnscented卡尔曼滤波在飞航导弹地磁导航中的应用
5.Kalman-Bucy filter卡尔曼-布西滤波器
6.open Kalman filter formulation开环卡尔曼滤波方程
7.Carrier Synchronization Method Based on FFT and Kalman Filter基于FFT和卡尔曼滤波器的载波同步方法的研究
8.Research on Applying Kalman Filters in PID controllers卡尔曼滤波器在PID控制器中的应用研究
9.Location of Wheeled Mobile Robot Based on Kalman Filter基于卡尔曼滤波器的轮式机器人定位方法
10.Application of Kalman filter in cannon locating radar卡尔曼滤波器在炮位侦察雷达中的应用
11.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。
12.EKF Based Acoustic Sensor Tracking Algorithm基于扩展卡尔曼滤波的声传感器跟踪算法
13.Study on Digital Percentage Differential and Ground Fault Relay for Power Transformer Based on Kalman Filter;基于卡尔曼滤波的电力变压器主保护的研究
14.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
15.An Application of Kalman Filter in the Method of High-frequency Signal Injection;卡尔曼滤波器在高频信号注入法中的应用
16.Researcher Based on Pipline Leakage Signal Detection with Kalman Filter基于卡尔曼滤波器的管道泄漏信号增强研究
17.Design and FPGA Realization of Kalman Filter in Vehicle Integrated Navigation System车辆组合导航中卡尔曼滤波器的设计及FPGA实现
18.Moving objects tracking algorithm based on Kalman filter基于卡尔曼滤波器的运动目标跟踪算法
相关短句/例句
Rao-Blackwellised Unscented Kalman Filter(RBUKF)Rao-Blackwellised Unscented卡尔曼滤波器
3)UKFunscented卡尔曼滤波
1.Two methods are unscented Kalman filter(UKF) and particle filter(PF).为了获得更高的估计精度,介绍了两种新的非线性滤波算法,即unscented卡尔曼滤波算法和粒子滤波算法。
2.The unscented Kalman filtering(UKF) is used to design the unscented Kalman filter of relative states determination of formation flying .首先给出了相对轨道和相对姿态动力学方程,选取相对姿态基准坐标系,然后分别建立了星敏感器和GPS伪距差分的观测方程,运用Unscented卡尔曼滤波方法(UKF)设计了双星编队相对状态确定的UKF滤波器。
3.To correct systematic errors and time errors of ground based radar,a space-time registration algorithm of ground based radar networking in 3-dimension coordinate based on Unscented Kalman Filter (UKF)is suggested.为消除地面雷达的系统误差和时间误差,提出了基于Unscented卡尔曼滤波(UKF)的三维空间地面雷达网的时空配准方法。
4)Unscented Kalman filterUnscented卡尔曼滤波
1.Geomagnetic aided integrated navigation method based onUnscented Kalman filter基于Unscented卡尔曼滤波器的地磁辅助组合导航
2.Due to the nonlinear of direct drive system,a novel states estimation approach—unscented Kalman filter(UKF)is applied in the nonlinear states estimation for the sensorless control of PMLSM.针对直线电机直接驱动系统具有强非线性,将一种新的滤波方法——Unscented卡尔曼滤波(UKF)应用于直线电机无位置传感器驱动系统的非线性状态估计中。
3.Unscented Kalman filter state estimates of the nonlinear system by constructing a set of sample points,which has the same known first and second moments,may be higher moments with the state.Unscented卡尔曼滤波(UKF)通过构造一组,具有与给定状态估计相同的一、二阶矩,也可能是高阶矩的样本点,实现对非线性系统的状态估计,因此其计算效率取决于能够捕获这些数字特征的样本点数目。
5)unscented Kalman filter(UKF)Unscented卡尔曼滤波
1.This filter was composed of two sub-filters: a Kalman filter and an unscented Kalman filter(UKF),and they were respectively used to process the information that came from GPS sub-system and the DR sub-system.子滤波器由两个滤波器构成:一个是卡尔曼滤波器,另一个是Unscented卡尔曼滤波器(UKF),它们分别处理GPS子系统和DR子系统的信息。
2.,Extended Kalman Filter(EKF),Unscented Kalman Filter(UKF),and Particle Filter(PF),are studied here.通过分析3种常用的非线性滤波器:扩展卡尔曼滤波器、Unscented卡尔曼滤波器以及粒子滤波器的原理,确定其适用性。
6)unscented Kalman filteringunscented卡尔曼滤波
1.In Unscented Kalman filtering, the updating of the filtering based on the nonlinear system equation was realized by designing a few sigma points and calculating the propagation of these sigma points via non-linear functions.针对大地坐标系下,超视距目标状态方程和量测方程复杂的非线性,提出了一种基于Unscented卡尔曼滤波的超视距目标跟踪。
2.Then theunscented Kalman filtering is used to realize the relative states autonomous determination.采用修正罗德里格参数(MRPs)作为姿态描述参数,通过建立相对轨道和相对姿态运动方程以及GPS和陀螺观测方程,运用unscented卡尔曼滤波方法(UKF)设计了双星编队相对状态自主确定算法,仿真结果验证了方法的可行性和有效性。
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。
