In this thesis, the specific parameter estimating by Kalman filter method was investigated under actual construction.
本文着重研究了在实际施工中，利用卡尔曼滤波法进行参数估计的具体做法。
The modified simplex optimization is used to remedy the drawbacks of Kalman filter method which is widely applied in analytical chemometrics.
本文应用改进的单纯形优化法较好地弥补了目前在分析化学计量学中得到广泛应用的卡尔曼滤波法所存在的不足。
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。
Base on that, further research is developed on the simulation of the PLL, algorithm for satellite orbit rapid extrapolation, application of Kalman filter method and so on.
在此基础上，进一步开展了锁相环数字仿真、卫星轨道快速外推算法研究和卡尔曼滤波算法研究。
The paper introduces the Kalman filter method that is an Optimal Recursive Data Processing Algorithm, which can separate these two components and filter out other random noises.
本文引进了一种最优化自回归数据滤波算法——卡尔曼滤波来分离这两个分量和消除其他随机噪声。
The effects of wavelength range and sampling interval selected on the results have been discussed. The results obtained were in good agreement with those by Kalman filter method.
讨论了波长范围、波长间隔对测定结果的影响，并同卡尔曼滤波法做了比较。
A reduced Kalman filter method for estimating the dynamic parameters of structures is presented in the paper. The results of calculation and test show that this method is effective.
本文应用扩展的卡尔曼滤波估计结构动态参数，文中提出一种简便的减缩变量卡尔曼游波方法，采用等效线性化原理识别结构的非线性参数。
The Successive Orthogonalization Decentralized Kalman Filter (SODKF ) is a new method which is used for large system state estimation.
逐次正交化分布式卡尔曼滤波器是对大系统进行状态估计的一种新方法。
On the basis of suction wave method to detect pipeline leakage, the theses present that Kalman Filter can be used to get the featured inflection point of pressure wave.
本文基于负压波法检测管道泄漏的基本原理，提出了利用卡尔曼滤波算法对压力信号波形进行处理获得压力波形特征点的方法。
It succeeds in exemplificative images by improving the method of tracking origination and finality, using Kalman Filter to forecast the next position and the nearest rule to associate data.
改进跟踪起始和跟踪终结算法，用卡尔曼滤波预测位置，最近邻原则进行数据关联，实现了对实验图像中多个目标的良好跟踪。
The method augments the measurement delay as a state of conventional Kalman filter as a state, and impacts on both velocity and attitude measurements owing to the time delay are also considered.
该方法将主惯导数据测量延迟时间扩展为卡尔曼滤波器的一个状态变量，并同时考虑了测量延迟时间对速度和姿态测量量的影响。
In this paper a method of parameter estimation for nonlinear system is proposed by applying the extended Kalman filter and more satisfactory results are obtained.
本文提出了一种应用推广卡尔曼滤波器来估计非线性系统参数的方法，井获得了较为满意的结果。
This paper presents an adaptive data fusion method which uses a fuzzy logic controller to online adjust the Kalman filter, and focuses on its application to the integrated GPS/INS navigation.
提出了一种利用模糊逻辑控制器来在线调节卡尔曼滤波器的自适应数据融合方法，并着重研究了其在GPS/INS组合导航中的应用。
This paper introduces and analyzes the application of the least square method and Kalman filter in time prediction.
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。
Since Kalman filter can find background automatically, this method can be used in dynamic segmentation of hand gesture from complex background effectively.
因为卡尔曼滤波可以实现背景图像的自适应提取，该方法可有效地实现复杂背景中手部目标的动态分割。
The traditional method of Kalman filter for passive sonar target track association is limited in practice.
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。
A small target detection method using Kalman filter as the clutter background prediction was presented.
提出了一种采用卡尔曼滤波器作为杂波背景预测器的小目标检测方法。
Unscented Kalman filter(UKF) is a new nonlinear filtering method which does not linearize the equations thus avoiding the error due to the linearization.
不敏卡尔曼滤波（UKF）是一种新的非线性滤波的方法，它能减少线性化截断误差对系统定位精度的影响。
A method for estimating the parameters of incident wave Angle and incident power by the use of the extended kalman filter is proposed.
提出了采用扩展卡尔曼滤波器估计入射波参数(入射角度和入射功率)的方法。
A method for estimating trajectory parameters by Kalman filter is introduced in this paper.
介绍了利用卡尔曼滤波器估计弹道参数进而外推出敌方炮位的方法。
The Ensemble Kalman Filter (EnKF) is a powerful data assimilation method and has proven its efficiency for strongly non-linear dynamical systems but is demanding in computing power.
方法是目前在强非线性系统中应用最广泛，效果最明显的集合资料同化方法。
A new group of adaptive estimation method of Kalman filter fading factor was developed.
提出了一种衰减记忆卡尔曼滤波中衰减因子的自适应估计方法。
For the disadvantage of tracking the soft failure of the residual test based on Kalman filter, this paper makes an improvement on the method by using the state propagator.
针对基于卡尔曼滤波器的残差检验法会跟踪软故障的局限性，提出了一种基于状态递推器的改进方法。
Based on the extended Kalman filter, an identification method on physical parameters of bridge structures subjected to stochastic loads is proposed.
基于广义卡尔曼滤波提出了随机荷载作用下桥梁结构物理参数的识别方法。
A new BO-TMA method combined adaptive weighting with Kalman filter is proposed.
提出一种自适应加权和卡尔曼滤波相结合的BO - TMA新方法。
When a dynamic occlusion occurred between two or more objects, the accurate matching of several moving objects could be obtained by using cross search method in the forecast area of Kalman filter.
当运动目标相互遮挡时，在卡尔曼滤波器预测区域内采用交叉搜索法实现多个运动目标的精确匹配。
This thesis concentrates on the method of improved fixed-gain Kalman filter.
介绍一种改进的固定增益卡尔曼滤波方法。
Kalman filter is a high efficiency, optimal data process method, which is a realtime recursive filter of linear, non-bias and least square.
卡尔曼滤波，是线性、无偏、最小方差的实时递推滤波，是一种高效、优化的数据处理方法。
Kalman filter is a high efficiency, optimal data process method, which is a realtime recursive filter of linear, non-bias and least square.
卡尔曼滤波，是线性、无偏、最小方差的实时递推滤波，是一种高效、优化的数据处理方法。
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