The last is decentralized Kalman filtering structures.
分散式卡尔曼滤波结构。
An algorithm of adaptive fuzzy Kalman filtering is presented.
提出了一种模糊自适应卡尔曼滤波算法。
Kalman filtering applied to titrimetric analysis was further studied.
进一步研究了卡尔曼滤波在滴定分析中的应用。
It utilizes extended Kalman filtering to carry out heterogeneous sensor fusion.
采用扩展卡尔曼滤波实现异质传感器融合。
Kalman filtering is an optimum filtering employing the norm of minimum mean square error.
卡尔曼滤波采用最小均方误差准则，是一种最优滤波。
This is a simple demonstration of the Kalman filtering process, and they hope to help everyone.
这是一个简单的卡尔曼滤波演示程序，希望对大家有所帮助。
A time domain recursive low pass filtering algorithm based on Kalman filtering theory is analyzed.
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 fast Kalman filtering algorithm of netted radar system is presented for tracking a maneuvering target.
提出了一种快速卡尔曼滤波跟踪算法，用于组网雷达系统对机动目标的跟踪分析。
The improvement of Kalman filtering in digital protection is introduced in order to suit the application.
介绍数字保护中卡尔曼滤波算法的一种改进，使它更适合实现。
Based on the limited memory Kalman filtering equation, a new equation with dynamic noise is given in the paper.
在已有限定记忆卡尔曼滤波方法的基础上，引入状态噪声，并推导了新的限定记忆卡尔曼滤波公式。
A method of fuzzy identification based on genetic soft fuzzy clustering and Kalman filtering method is proposed.
提出了一种新的基于遗传模糊软分类和卡尔曼滤波方法的模糊辨识算法。
The main idea of Kalman filtering is to describe the linear dynamic system using state equation and measurement equation.
卡尔曼滤波的主要思想，是用状态方程和量测方程描述线性动态系统。
Satisfactory results were achieved by using the extended Kalman filtering iterative algorithm for on-line state estimation.
用推广卡尔曼滤波迭代算法进行状态实时估计取得令人满意的结果。
Nowadays integrated navigation system based on Kalman Filtering theory has efficiently increased the cost performance ratio.
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。
When the data were processed with Kalman filtering method, the gross errors could be found in the forecasting residual vector.
用卡尔曼滤波方法进行数据处理时，观测值中的粗差将在预测残差向量中得到反映。
Based on the adaptive Kalman filtering algorithm, an estimator for the GPS PN code tracking error with model bias is proposed.
在自适应卡尔曼滤波算法的基础上提出了一种带模型偏差的GPS伪码跟踪误差估计器。
When the Kalman filtering is applied to logging data processing, filtering parameters are different from the conventional ones.
卡尔曼滤波应用于测井数据处理，其参数具有特殊性，对如何确定某些参数进行了讨论。
And based on the in-coordinate interval kalman filtering algorithms, the paper gave the scheme of solving the measurement delay.
同时，在该非等间隔卡尔曼滤波算法的基础上，提出了解决量测滞后的方案。
Theoretical analysis and the processing of real data show that Kalman filtering theory has great potential in seismic data processing.
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。
In moving base transfer alignment under nonlinear and non-Gaussian situation, using Kalman Filtering could cause large error or even divergence.
在非线性、非高斯条件下进行动基座传递对准，如果采用卡尔曼滤波会出现误差较大甚至发散的问题。
The result of experiment indicates that the system that applies Kalman filtering arithmetic has advantages such as reliability, high accuracy, etc.
实验结果表明，采用卡尔曼滤波算法的系统具有可靠、高精度、实时性好等优点。
The target can be tracked when it leaves, primary route suddenly by stochastic processing using the statistical characteristic of Kalman filtering.
当目标机动时，可以利用卡尔曼滤波的统计特性，进行目标机动处理等等。
When Kalman filtering cannot track efficiently the state with abrupt changes, MSTKF switches to strong tracking filtering with varying softening factor.
当卡尔曼滤波不能有效跟踪突变状态时，MSTKF切换为可变弱化因子的强跟踪滤波。
This paper proposes a method for recursive optimal filtering of one-dimension stationary ran-dom processes by use of Kalman filtering of constant system.
本文提出了利用定常卡尔曼滤波来实现任意一维平稳随机过程递推最佳滤波的方法。
In this paper we mainly study the base stability analysis of GPS deformation monitoring and suppressing the surveying data noise by adaptive Kalman filtering.
本文主要研究GPS变形监测的基准稳定性分析及利用自适应卡尔曼滤波进行变形监测数据除噪。
An extended Kalman filtering (EKF) algorithm is designed for radiolocation in cellular communication system, simulation is conducted to examine its performance.
设计了一种蜂窝系统无线定位中使用的扩展卡尔曼滤波(ekf)算法，对其性能进行了仿真。
To investigate the problem of tracking a high accelerating maneuvering target with netted radar system, the parallel extended Kalman filtering algorithm is derived.
针对多基地雷达系统跟踪近距离高加速机动目标的场合，提出了一种并行扩展卡尔曼滤波算法。
Kalman Filtering is used for suppressing the effect of random disturbances on the flexible structural system, and PID-NNC is used for realizing trajectory tracking.
这种新方法通过构造卡尔曼滤波来抑制随机干扰对系统的影响，同时采用PID - NNC来实现馈源舱轨迹跟踪。
The input space of fuzzy system is partitioned by means of real time recursive fuzzy clustering, and the parameters of fuzzy model are confirmed by Kalman filtering.
利用递推模糊聚类算法实时对系统的输入空间进行模糊划分，利用卡尔曼滤波算法确定参数。
Each test signal of tank gun control test system usually has random disturbance, real-time recurrence filtering for test signals is performed by means of Kalman filtering.
火炮控制检测系统各检测信号大多含有随机干扰，利用卡尔曼滤波可对检测信号进行实时递推滤波。
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