分析了一种基于卡尔曼滤波理论的时域递归低通滤波算法。
A time domain recursive low pass filtering algorithm based on Kalman filtering theory is analyzed.
目前，基于卡尔曼滤波理论设计的组合导航系统有效提高了导航系统的性能价格比。
Nowadays integrated navigation system based on Kalman Filtering theory has efficiently increased the cost performance ratio.
首先介绍了卡尔曼滤波理论及相关技术，建立了系统卡尔曼滤波的状态方程和观测方程；
The Kalman filter theory is introduced and the dynamic error vector equation of the initial alignment is derived at the first.
通过理论分析与实际地震数据处理，说明了卡尔曼滤波理论在地震资料处理中的应用是有很大潜力的。
Theoretical analysis and the processing of real data show that Kalman filtering theory has great potential in seismic data processing.
目前卡尔曼滤波理论基本上取代了维纳滤波理论，经典的维纳滤波方法基本上不适应现代目标跟踪系统的需求。
Kalman has already replaced the classic Wiener filter theory for it can not meet the development of modern target tracking system.
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。
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.
给出适应性观测理论和集合变换卡尔曼滤波方法及其研究现状的综述。
This paper presents the main idea of adaptive observation and ensemble transform Kalman filter and their development.
河道糙率是洪水水力计算的重要参数，引入控制论理论，应用带参数的卡尔曼滤波法进行河道糙率反演分析。
The channel friction is importance parameter of hydraulic analysis, a channel friction parameter inversion method based on Kalman filter with unknown parameter vector is proposed.
文章最后基于最大似然估计和线性卡尔曼滤波方法提出了一种理论上的最佳GPS载波跟踪环结构设计方案。
Finally, a theoretically optimal structure of GPS carrier tracking loop based on maximum likelihood estimation and linear Kalman filtering is proposed in this dissertation.
提出了一种基于卡尔曼滤波器预测理论的容延迟移动传感器网络路由协议。
An adaptive routing based on Kalman filter prediction theory for DTMSN was raised.
综合泄漏流量的有限元计算结果与扩展卡尔曼滤波器的估计结果，与实测结果相比较，进一步完善理论分析方法。
The theoretical analysis is verified and improved by comparing the results of FEM calculation and EKF estimation with experimental measurement.
虽然该系统的研究开发是针对桥梁的线形控制，但卡尔曼滤波和灰色理论也是参数识别中常用的两种方法，因此该系统也可用来进行参数识别。
The two control theories of kalman filter and grey system are also used for identifying parameters, so this system can be used for identifying parameters too.
虽然该系统的研究开发是针对桥梁的线形控制，但卡尔曼滤波和灰色理论也是参数识别中常用的两种方法，因此该系统也可用来进行参数识别。
The two control theories of kalman filter and grey system are also used for identifying parameters, so this system can be used for identifying parameters too.
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