1) Extended Federated Kalman Filtering
联合推广卡尔曼滤波
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) Federated kalman filter
联合卡尔曼滤波
1.
Study of fault-detection and fault-tolerant of sensor susing on fuel cell engine basing on federated Kalman filter;
基于联合卡尔曼滤波器的燃料电池传感器故障检测与容错研究
2.
In order to overcome the disadvantages of regular federated Kalman filter,a fuzzy Kal- man filter based on genetic algorithm was presented and applied in information fusion of the GPS/DR vehicle integrated navigation system.
针对常规联合卡尔曼滤波存在的缺陷,提出基于遗传优化的模糊卡尔曼滤波方法,并运用于全球定位系统(GPS)/轨迹推算系统(DR)汽车组合导航的数据融合中。
3.
Multi-sensor fusion technology based on adaptive federated Kalman filter is researched.
针对全球定位系统信号易受城市复杂的环境干扰,接收不可靠、航位推算只能进行短时间高精度导航、地图匹配仅可在拐弯处才能提供与地图精度相当的修正信息、城区车辆导航存在“盲区”问题,研制了采用蓝牙技术的新型路标传感器,研究了基于自适应联合卡尔曼滤波算法的多传感器信息融合技术。
6) federal Kalman filter
联合卡尔曼滤波
1.
Multi-sensor information fusion algorithm based on federal Kalman filter and its application;
基于联合卡尔曼滤波的多传感器信息融合算法及其应用
2.
At last,GPS and fluxgate sensor location are fused in federal kalman filter.
给出了基于磁通门/GPS组合导航系统的硬件结构图,并应用卡尔曼滤波和方差自适应滤波算法分别对GPS、磁通门单独导航定位系统进行了分散滤波,最后应用联合卡尔曼滤波器对GPS和磁通门信息进行了信息融合。
3.
This article bases on the ideas of federal Kalman filter that first dispo- ses locally and then fuses globally,researching on the data fusion of radar and IRI.
本文运用联合卡尔曼滤波的先分散处理,再全局融合的思想,对主动雷达、红外传感器的数据融合问题进行了研究。
补充资料：卡尔曼滤波
见波形估计。
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