1) unscented kalmen filter
无轨迹Kalman滤波
2) iterated unscented Kalman filter
迭代无迹Kalman滤波
1.
Here,an iterated unscented Kalman filter was used to generate the initial particle distribution for the particle filter.
该文用迭代无迹Kalman滤波产生粒子滤波的建议分布,提出了一种新的粒子滤波算法——迭代无迹Kalman粒子滤波。
3) unscented Kalman filter
无轨迹卡尔曼滤波
1.
In view of control difficulty caused by severe nonlinear performance of brushless DC motor(BLDCM),an observer was designed for estimating the rotor position and velocity of BLDCM by using unscented Kalman filter(UKF) algorithm.
针对无刷直流电机(BLDCM)非线性严重而导致控制困难的问题,利用无轨迹卡尔曼滤波(UKF)算法设计了观测器,以估计无刷直流电机的转子位置和角速度。
2.
The psi-angle model of nonlinear inertial navigation system(INS) alignment for large misalignment error was discussed,and the principle of the unscented Kalman filter(UKF) was analyzed.
讨论了大失准角情况下,惯性导航系统(INS)初始对准的非线性误差模型,分析了无轨迹卡尔曼滤波原理,提出将无轨迹卡尔曼滤波(UKF)技术应用于惯性导航系统初始对准ψ角估计中,进行了静基座状态下的初始对准仿真。
3.
For verifying the performances of extended Kalman filter(EKF) and unscented Kalman filter(UKF) in tightly-coupled integrated navigation system,an INS system error model in the earth-centered earth-fixed(ECEF) frame and a GPS pseudo range/range rate model are proposed to form the system equation and the measurement equation respectively,and then EKF and UKF filtering equations are derived.
为了检验扩展卡尔曼滤波(extended Kalman filter,EKF)与无轨迹卡尔曼滤波(unscented Kalmanfilter,UKF)在紧耦合组合导航系统中的性能,给出了地心地球固连(earth-centered earth-fixed,ECEF)坐标系下惯性导航系统(inertial navigation system,INS)误差方程。
4) dual unscented Kalman filter
双无轨迹卡尔曼滤波器
5) Rao-Blackwellised unscented Kalman filter
RB无轨迹卡尔曼滤波
6) unscented Kalman filter
无迹滤波
1.
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。
补充资料：adaptive Kalman filter
分子式：
CAS号：
性质：在利用测量数据进行滤波的同时，不断地由滤波本身去判断系统的动态是否有变化，对模型参数和噪声统计特性进行估计和修正，以改进滤波设计，缩小滤波的实际误差。此种滤波方法将系统辨识与滤波估计有机地结合为一体。
CAS号：
性质：在利用测量数据进行滤波的同时，不断地由滤波本身去判断系统的动态是否有变化，对模型参数和噪声统计特性进行估计和修正，以改进滤波设计，缩小滤波的实际误差。此种滤波方法将系统辨识与滤波估计有机地结合为一体。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条