1) coupled finite element and kalman filtering
有限元与卡尔曼滤波耦合
1.
Based on deterministic and stochastic characteristics of a groundwater system, the simulation algorithm of coupled finite element and kalman filtering is applied in analyzing the network for groundwater monitoring of.
文中在对岩溶地下水流系统分析的基础上,建立了地下水流系统确定性-随机性数学模型,运用有限元与卡尔曼滤波耦合的模拟递推算法,对大武水源地地下水监测网进行了优化设计,结果显示:现有地下水位动态监测网难以达到监测目标,最优地下水位监测网由14个监测井,每月监测一次的监测频率组成,比现有地下水位监测网减少了2个监测井。
2) an algorithm of coupled finite element and Kalman filtering
有限元与卡尔曼滤波耦合算法
1.
This paper suggests a method for estimation of distribution, deterministic and stocjastic parameters of groundwater flow system: an algorithm of coupled finite element and Kalman filtering.
提出一种估计地下水流系统分布型确定性 -随机性参数的方法 :有限元与卡尔曼滤波耦合算法。
3) finite-difference extended Kalman filter(FDEKF)
有限差分卡尔曼滤波
1.
Based on guidance scheme of antagonism against the radar stopping radiating using the strapdown inertial navigation system and antiradar seeker,the application of finite-difference extended Kalman filter(FDEKF) to passive localization of target is studied.
基于捷联惯导/反辐射导引头组合抗目标雷达关机制导方案,研究了有限差分卡尔曼滤波(FDEKF)方法在对目标雷达被动定位中的应用。
4) ensemble Kalman filter
集合卡尔曼滤波
1.
Assisted history-matching method based on ensemble Kalman filter
基于集合卡尔曼滤波的油藏辅助历史拟合
2.
Application of Ensemble Kalman filter to streamflow forecasting on hydrological model
集合卡尔曼滤波在流域水文模型流量预报中的应用
3.
Real-updating multivariate analysis for unsteady flows with ensemble Kalman filter
水动力学模型与集合卡尔曼滤波耦合的实时校正多变量分析方法
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