1) measurement fusion
观测融合
1.
Currently there exist two commonly used measurement fusion methods for kalman-filter-based multi-sensor data fusion.
目前有两种基于K a lm an滤波的多传感器观测融合方法,方法1是将观测向量的维数增加,获得扩展观测向量。
2.
For the multisensor systems with correlated measurement noises and different measurement matrices,two correlated measurement fusion steady-state Kalman filtering algorithms are presented by using the weighted least squares (WLS)method.
对于带相关观测噪声和带不同观测阵的多传感器系统,用加权最小二乘(Weighted least squares,WLS)法提出了两种相关观测融合稳态Kalman滤波算法。
3.
Based on Kalman filtering algorithm and by using the weighted least squares(WLS) measurement fusion method,that the datum measured by multisensors are weighted optimally is put forward,then the fused datum are filtered and brought back to the input endian,so that the accuracy of PID controlling is improved.
本文基于Kalman滤波算法,应用加权最小二乘(WLS)观测融合方法,提出了对多个传感器所检测的数据进行最优加权,进而将融合后的数据经滤波后反馈到输入端,提高PID控制精度,一个三传感器信息融合PID控制器的仿真例子说明了该方法的有效性。
2) measurement-vector fusion
观测矢量融合
1.
For the require of adaption and fault-tolerance of the full system,it is proposed that measurement-vector fusion algorithm added with fuzzy controller be taken in the integrated navigation system.
在由平台式惯性导航系统、多普勒计程仪、全球卫星定位系统(GPS)和罗兰-C导航系统构成的组合导航系统中,采用观测矢量融合算法进行融合。
3) Distributed measurement fusion
分布式观测融合
4) measurement data fusion
观测数据融合
1.
Based on the functional equivalence principle of the measurement data fusion,combining the measurement equations of two-sensor into an optimal fused measurement equation by the weighting method,the globally optimal steady-state Kalman estimators can be obtained.
基于观测数据融合功能等价性原理,利用加权方法合并两传感器系统的各传感器的观测方程为一个最优融合观测方程,可得到全局最优稳态Kalman滤波器,进而可得到等价的解耦W iener状态估值器。
5) centralized measurement fusion
集中式观测融合
1.
The first is the centralized measurement fusion method,which combines the multi-sensor data by increasing the dimension of the measurement vector,whereas the second is the distributed measurement fusion method which combines the multi-sensor data by the weighting based on a linear minimum variance criterion,but the dimension of the measurement vector is not changed.
对于基于K alm an滤波的多传感器数据融合,有两种最优观测融合方法:第一种是集中式观测融合方法,它是通过增加观测向量的维数合并多传感器数据,而第二种是分布式观测融合方法,它是在线性最小方差准则下,通过加权合并多传感器数据,但观测向量维数不变。
6) weighted measurement fusion
加权观测融合
1.
For the multisensor systems, using the weighted least squares (WLS) method, a weighted measurement fusion equation and a equivalent weighted measurement fusion system are obtained.
对于多传感器系统，应用加权最小二乘(WLS)法得到一个加权观测融合方程和一个等价的加权观测融合系统。
2.
For the multisensor system with unknown noise statistics, and with the measurement matrices having the same factor, based on the weighted least squares(WLS) method, a weighted fusion measurement equation is obtained, and it together with the state equation to constitute a equivalent weighted measurement fusion system.
应用加权最小二乘(WLS)法可得到一个加权融合观测方程,且它与状态方程构成一个等价的加权观测融合系统。
3.
In the process of information fusion,when the colored observation noises are models,observation-expand filter can eliminate the influence of colored observation noises and the optimal weighted measurement fusion formula is obtained then the optimal results are accounted.
信息融合技术中,在各局部传感器的有色观测噪声为一阶AR模型的情况下,可以利用观测扩增方法消除有色噪声的影响,得到最优加权观测融合方程,从而实现状态的最优滤波解。
补充资料：大坝内部变形观测(见水工建筑物变形观测)
大坝内部变形观测(见水工建筑物变形观测)
daba neibubianxing guanCe大坝内部变形观测见水工建筑物变形观测。
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