1) square root extended Kalman filtering(SR-EKF)
平方根推广卡尔曼滤波
1.
This paper discusses square root extended Kalman filtering(SR-EKF) for satellite orbit determination with onboard GPS observations.
本文探讨了利用星载GPS数据实现平方根推广卡尔曼滤波(SR-EKF)定轨的方法,采用SR-EKF对两颗GRACE卫星进行了定轨试验计算,并将计算结果与Bernese5。
2) 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 and extended 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 on extended 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。
3) EKF
推广卡尔曼滤波
1.
An EKF(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 of EKF.
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。
5) square-root unscented Kalman filter
平方根无迹卡尔曼滤波
1.
To avoid the computational complexity and the tracking precision decrease from the nonlinear feature in passive tracking,a new square-root unscented Kalman filter(SR-UKF) algorithm is proposed to track underwater targets.
为了避免被动跟踪中非线性性带来的计算复杂化及跟踪精度的下降,该文将平方根无迹卡尔曼滤波(SR-UKF)算法应用到水下仅测角目标跟踪。
6) Extended Federated Kalman Filtering
联合推广卡尔曼滤波
补充资料：平方
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说明：补充资料仅用于学习参考，请勿用于其它任何用途。
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