Kalman filter model of oil pipeline pressure wave is given out and the influences of model parameters on filtering effect are analysed.
给出了输油管道压力信号的卡尔曼滤波模型，并分析了模型参数对滤波效果的影响。
Based on the exponential trend model, the Kalman filter model is applied to forecasting displacement values at observation point in Lianziya hazardous rock mass GA.
以指数趋势模型为基础，建立卡尔曼滤波模型对链子崖危岩体ga监测点的位移量进行预测。
In this paper, the Kalman filter approach is used to accurately estimate the parameters of first-order model for the evaluation of roundness errors.
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。
The drawbacks of the traditional Kalman filter arise from its requirement of accurate model and noise statistics which generally can't be satisfied in engineering applications.
常规卡尔曼滤波器有一大缺点，它要求精确的模型和噪声统计，但实际问题中，大多数情况上述要求不能满足。
This paper presents a hybrid model for urban arterial travel time prediction based on the so-called state space neural networks (SSNN) and the extended Kalman Filter (EKF).
提出了一种基于状态空间神经网络(SSNN)和拓展卡尔曼滤波(ekf)的混合式行程时间预测模型。
The paper sets up a time sequence model of laser gyro random error and processes the drift data by Kalman filter based on the model.
在对激光陀螺漂移数据建立时间序列模型的基础上，对激光陀螺的漂移数据进行了卡尔曼滤波。
One maneuvering target tracking method in which RBF neural network is applied to correct Kalman filter result in standard Interacting Multi Model (IMM) is proposed in this paper.
文中提出了一种应用rbf神经网络对标准IMM算法中的卡尔曼滤波结果进行校正的方法。
According to this model and the Kalman filter arithmetic, the FOG random error was filtered in real time in the process of initial alignment and navigation of FOG inertial navigation system.
根据该模型，采用卡尔曼滤波算法，实现了光纤陀螺惯导系统在对准与导航过程中光纤陀螺随机误差的实时滤波。
M-band wavelet is used to approximate the projection relationship between the scale Spaces, and system model that satisfies Kalman filter condition is built.
用M带小波变换来拟合状态在各尺度空间的投影关系，建立了满足标准卡尔曼滤波条件的系统模型。
An extended Kalman filter with adaptive gain was used to build a miniature attitude and heading reference system based on stochastic model.
利用改进的自适应增益卡尔曼滤波器在随机模式下建立一个小型姿态确定系统。
Considering the radiation problem of filtering resulting from the inaccurate model of the Kalman filter, data fusion algorithm based on the fuzzy Kalman filter is advanced.
并针对卡尔曼滤波因模型不准确而导致的滤波发散问题，提出了模糊卡尔曼的数据融合算法。
The Kalman Filter is widely applied in the Information Fusion at the present, which can get the optimal estimate in the Linear-Gaussian model, but not applied in the nonlinear and non-Gaussian model.
目前在信息融合领域广泛使用的融合算法是卡尔曼滤波，它在线性高斯模型下能得到最优估计，但在非线性非高斯模型下则无法应用。
Moving areas about human are segmented by using hybrid Gaussian model as background, tracked by Kalman filter, and recognized by using a color-based model.
用混合高斯模型得到运动人体的区域，通过卡尔曼滤波对人体进行跟踪，并利用人体的颜色信息进行识别。
The basic variations in Kalman filter architecture are discussed and the multiple model estimation algorithm is presented as well.
讨论了建立卡尔曼滤波器的基本变量，最后探讨了卡尔曼滤波的多模型估计算法。
Through linearizing nonlinear vehicle model, vehicle side-slip Angle estimation algorithms based on generalized Kalman filter and generalized Luenberger observer are formulated.
用非线性车辆模型线性化方法，设计了基于广义卡尔曼滤波器和广义龙贝格观测器的质心侧偏角估计算法。
Kalman filter of the kind of equations was calculated with T-SFIMMA algorithm based on adaptive Kalman filter algorithm of T-S fuzzy model, realize the tracking and automatic switchover of models.
对各方程序卡尔曼滤波，通过T -SFIMMA算法进行基于T - S模糊模型的自适应卡尔曼滤波计算，实现系统模型的实时跟踪与自动转换。
The method can be used to reduce the fail of detection, limit the false alarm and improve the reliability of decision by setting up failure model and using Kalman filter.
该方法通过建立故障模型，利用卡尔曼滤波算法，降低了漏检率和虚警率，提高了决策的可靠性。
System model is the foundation of Kalman filter. The nondeterminacy of system model brought on apriori data error, as the low precision and the diverge of the filter.
系统建模是卡尔曼滤波的基础，系统模型不准确带来的验前数据误差，使滤波器精度降低，可能造成发散。
The face motion could be estimated by using face skin color model integrated with feature based object recognition technique and extended Kalman filter.
以人脸肤色模型为基础，结合目标形状特征识别方法，并用扩展卡尔曼滤波估计目标运动轨迹，实现基于肤色的人脸实时跟踪鲁棒方法。
This paper presents a new method of the dynamic model decoupling in kalman filter.
本文对卡尔曼滤波中动态模型的解耦提一种新的方法。
Moreover, the optimal state-feedback control modules and Kalman filter are added in the model, then the whole LQG control system is constructed directly.
在此基础上，应用了最优状态反馈控制和卡尔曼滤波器模块，构成了完整的LQG控制系统。
For the inertial navigation system with model errors, there exists a large error in estimating a state using conventional Kalman filter, and it can even make the filter diverging.
对于有模型误差的惯导系统，采用常规卡尔曼滤波会导致较大的状态估计误差，甚至使滤波器发散。
After analyzing the model of high dynamic signals, a quasi-open-loop carrier tracking method based on unscented Kalman filter (UKF) is proposed.
在分析高动态载波信号模型的基础上，提出了一种基于无迹卡尔曼滤波(ukf)的准开环载波跟踪方法。
The Kalman filter has been commonly used in target tracking, however its performance may be degraded in presence of maneuver, low robustness and strong model dependence.
针对卡尔曼滤波器对系统模型依赖性强、鲁棒性差和跟踪机动目标能力有限的问题，提出了一种新的利用混合模糊逻辑和标准卡尔曼滤波器的联合算法。
Looking the model parameter of ar (1) model as the status vector, using Kalman filter method to analysis the deformation of dangerous rock mass.
将AR(1)模型的模型参数作为状态向量，用卡尔曼滤波法进行危岩体变形分析。
Adaptive Kalman filter algorithm study (1) Based on the study of the passive target tracking in modified polar coordinates, the nonlinear dynamic model is devised.
自适应滤波算法(1)研究了极坐标系下的水下目标被动跟踪问题，建立了被动跟踪的动力学模型。
Adaptive Kalman filter algorithm study (1) Based on the study of the passive target tracking in modified polar coordinates, the nonlinear dynamic model is devised.
自适应滤波算法(1)研究了极坐标系下的水下目标被动跟踪问题，建立了被动跟踪的动力学模型。
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