...．3．3．2@三次样条插值与FICP对比#30本章小结#31第四章@卡尔曼滤波后置处理#334．1@ 离散卡尔曼滤波 ( discrete kalman filter )#334．2@扩展卡尔曼滤波(extended kalman filter)#354．3@二级滤波#364．3．1@对过程数据预处理#374．3．2@对过程数据滤波#384．...
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discrete kalman filter method 离散卡尔曼滤波法
In the paper, discrete Kalman Filter and distributed dynamic data fusion technology is used to dispose the information from structural health monitoring. The theory analysis and numerical simulation shows that multi-sensor data fusion algorithm can improve data accuracy effectively.
本文将离散Kalman滤波和多传感器动态数据融合算法应用于结构健康监测的信息处理中，通过理论分析和数值仿真验证了多传感器动态数据融合算法能够提高结构健康监测信息的精度。
参考来源 - 结构健康监测信息的数据融合方法研究·2,447,543篇论文数据，部分数据来源于NoteExpress
At first, the application background of Kalman filter theory is introduced. Then, discrete Kalman filter equations are derived, and state equations of continuous system are discreted.
首先介绍了卡尔曼滤波理论的应用背景，然后推导了离散卡尔曼滤波方程，并对连续系统的状态方程进行离散化。
Kalman filter used in linear discrete stochastic system has good convergence and the ability to remove high frequency noises.
卡尔曼滤波用于线性离散随机系统具有非常好的收敛性和滤除高频噪声的能力。
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