该方法使用了两步卡尔曼滤波。
提出了一种模糊自适应卡尔曼滤波算法。
An algorithm of adaptive fuzzy Kalman filtering is presented.
采用扩展卡尔曼滤波实现异质传感器融合。
It utilizes extended Kalman filtering to carry out heterogeneous sensor fusion.
本文研究卡尔曼滤波在电位滴定分析法中的应用。
The application of Kalman filter in potential titration analysis is studied.
卡尔曼滤波采用最小均方误差准则，是一种最优滤波。
Kalman filtering is an optimum filtering employing the norm of minimum mean square error.
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.
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。
This is a simple demonstration of the Kalman filtering process, and they hope to help everyone.
并提出了卡尔曼滤波在相位解缠与噪声抑制中的一种新算法。
Therefore a new method of Kalman Filters used in phase unwrapping and noise restraining is proposed.
研究了自适应卡尔曼滤波技术在移动卫星通讯系统中的应用。
This paper investigates the application of adaptive Kalman filter in Moving Satellite Communication System.
介绍和分析了最小二乘和卡尔曼滤波方法在时间预报中的应用。
This paper introduces and analyzes the application of the least square method and Kalman filter in time prediction.
传统的目标航迹关联方法卡尔曼滤波法在实际应用时有局限性。
The traditional method of Kalman filter for passive sonar target track association is limited in practice.
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。
The improvement of Kalman filtering in digital protection is introduced in order to suit the application.
运用扩展卡尔曼滤波算法，研究了该系统的目标运动分析问题。
With the algorithm of extend Kalman filter, the target motion analysis is discussed.
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。
Satisfactory results were achieved by using the extended Kalman filtering iterative algorithm for on-line state estimation.
本文利用卡尔曼滤波方法精确地估计圆度误差评定中一阶模型参数。
In this paper, the Kalman filter approach is used to accurately estimate the parameters of first-order model for the evaluation of roundness errors.
利用卡尔曼滤波算法进行标记点预测和跟踪，提高了跟踪的准确性。
Kalman filter is used to predict and track markers, making the tracking of markers more veracious.
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。
The main idea of Kalman filtering is to describe the linear dynamic system using state equation and measurement equation.
利用车轮角速度信号，应用卡尔曼滤波技术来计算车轮角加速度信号。
Utilizing the wheel speed signals and applying the Kalman filter technology, the wheel angular acceleration is calculated.
本文介绍了一种提取脑电信号的自适应卡尔曼滤波算法及其微机处理软件。
This paper introduces an algorithm of adaptive Kalman filter and its microcomputer software for extracting EEG signal.
本论文主要是研究卡尔曼滤波参数混合技术应用于民用飞机相对导航系统。
This paper discusses mainly the technique of parameter hybrid of Kalman filter applied in the system of relative navigation.
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。
Kalman filter used in linear discrete stochastic system has good convergence and the ability to remove high frequency noises.
为此提出一种利用熔池图像质心和卡尔曼滤波来间接获取电弧与焊缝偏差的方法。
An approach is proposed that this deviation can be obtained by using the weld pool image centroid and a Kalman filter.
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 result of experiment indicates that the system that applies Kalman filtering arithmetic has advantages such as reliability, high accuracy, etc.
针对这一问题，提出了一种基于GM （1， 1）模型的跟踪卡尔曼滤波方法。
The paper provides a new algorithm by introducing GM (1, 1) into Kalman filter .
新的章节，也增加了在黄木樨草分解，偏自相关，长期记忆过程，和卡尔曼滤波。
New sections have also been added on the Wold decomposition, partial autocorrelation, long memory processes, and the Kalman filter.
为了提高数学模型的模拟精度，本文采用广义卡尔曼滤波技术进行递推滤波估计。
In this paper an extended Kalman-filtering was used to improve the precision of the simulation of mathematical model.
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。
When the data were processed with Kalman filtering method, the gross errors could be found in the forecasting residual vector.
当动力学模型存在未知的随机系统偏差时，两阶段卡尔曼滤波要优于标准卡尔曼滤波。
The two-stage Kalman filter is excellent than standard Kalman filter in the presence of unknown random bias.
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。
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。
When Kalman filtering cannot track efficiently the state with abrupt changes, MSTKF switches to strong tracking filtering with varying softening factor.
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