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1)  non-reset type federated Kalman filter
无重置式联邦Kalman滤波
1.
Based on aforementioned problem,with the unknown noise covariance,applying the Eextended Forgetting Factor Recursive Least Squares(EFRLS) estimator to solve the problem about the application of non-reset type federated Kalman filter in target track fusion,and improved the non-reset type federated filter in the case of some subfilter break down or not work.
基于上述问题,利用推广的遗忘因子最小二乘法(EFRLS),研究了噪声方差未知情况下无重置式联邦Kalman滤波的应用问题,并针对子滤波器出现中断或不工作的情况对无重置式联邦滤波器进行了改进。
2)  federated Kalman filter
联邦Kalman滤波
1.
The federated Kalman filter is an effective strategy used in target estimate in a complex MSIF(Multi-Sensor Information Fusion)system.
鉴于联邦Kalman滤波是一种能在复杂信息融合系统中进行目标状态估计的有效方法,介绍了联邦Kalman滤波器的原理和结构,提出了一种基于联邦Kalman滤波结构的自适应多传感器信息融合算法。
3)  no-reset federated filter
无重置联邦滤波器
4)  Adaptive federated Kalman filtering
自适应联邦Kalman滤波
5)  federal filtering
联邦滤波
1.
A new micro satellite attitude determination algorithm based on improved fusing-feedback federal filtering was presented in solution of multi-information fusion using micro satellite attitude dynamics,sun sensor,magnetormeter and GPS receiver.
采用微小卫星姿态动力学,并针对太阳敏感器/磁强计/卫星导航系统(GPS)接收机多姿态信息融合的特点,提出一种基于融合反馈模式的改进联邦滤波姿态确定方法,各子滤波器只完成量测更新,由主滤波器完成时间更新与预测信息的分配。
2.
On the basis of non-feedback federal filtering,Beidou navigation location system and the star sensor are used together in an integrated navigation system in order to set up the SINS/Beidou/star integrated navigation system.
将北斗卫星导航系统和星敏感器共同运用到组合导航中,以无反馈模式的联邦滤波器为基础,构建了SINS/北斗/星敏感器组合导航系统。
3.
Improving no-reset federal filtering algorithm based on local feedback,studying the problem of weight matrix construction for local filtering and assuring,the isolation of two local filteri s,each other,optimal reliability can be achieved,and local feedback .
精度和可靠性为车载组合导航系统重要的性能指标,基于输出校正的无重置联邦滤波算法在航位推算/惯性导航/GPS(DR/INS/GPS)车载导航系统中具有最高的容错性能,但长时间导航误差发散。
6)  federated filter
联邦滤波
1.
Research on double-adaptive federated filter applied in SINS-satellite integrated system;
双重自适应联邦滤波在SINS-卫星组合中的应用研究
2.
A new federated filtering algorithm for vehicles’ integrated navigation;
一种车载组合导航系统的联邦滤波新算法
3.
Study on attitude determination based on federated filter;
一种联邦滤波在定姿系统中的应用研究
补充资料:adaptive Kalman filter
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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。

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