介绍一种改进的固定增益卡尔曼滤波方法。
This thesis concentrates on the method of improved fixed-gain Kalman filter.
本文提出了一种新的多级卡尔曼滤波方法。
采用扩展卡尔曼滤波方法设计了导航滤波器。
The navigation filter was designed using extended Kalman filtering technique.
扩展的卡尔曼滤波方法已经有效地用于非线性模型。
The extended Kalman filtering method has been effectively used in the nonlinear model.
叙述了用卡尔曼滤波方法处理GPS变形监测网的方法。
The Kalman Filter for GPS deformation monitoring network has been discussed.
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.
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.
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.
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。
A method of fuzzy identification based on genetic soft fuzzy clustering and Kalman filtering method is proposed.
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 .
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.
提出了一种加入线性不等式约束的卡尔曼滤波方法，并用于涡扇发动机的健康状况估计。
A method for incorporating linear state inequality constraints in a Kalman filter is proposed and applied to turbofan engine health estimation.
通过逐步回归分析方法剔除次要影响因素，并采用卡尔曼滤波方法动态预测回归残差项。
The sequential regression analysis was adopted to screen off the secondary factors, and the Kalman filtering technique was used to estimate innovation coefficients of the model dynamically.
针对标准卡尔曼滤波方法中野值对其滤波精度的影响，提出了基于M估计的野值处理方法。
The influence of the outliers on the Kalman filter is analyzed. A method based on M-estimate dealing with outliers is proposed.
针对该问题，本文基于扩展卡尔曼滤波方法提出了一种准最佳的GPS载波跟踪环结构设计方案。
Aiming at this problem, a new quasi-optimal structure of GPS carrier tracking loop based on extended Kalman filtering is proposed in this dissertation.
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。
Based on the limited memory Kalman filtering equation, a new equation with dynamic noise is given in the paper.
首先，介绍了位置跟踪广泛应用的卡尔曼滤波方法和在全局定位方面取得一定成功的马尔可夫定位方法。
Firstly, we introduce the Kalman filter which is extensively used in position tracking, and the Markov localization method which has made many successes in global localization.
仿真结果表明：与卡尔曼滤波方法相比，MHE方法能处理系统约束，具有比卡尔曼滤波更好的估计性能。
The simulation results show that MHE can solve the constrained linear system and has more effective estimation performance compared with Kalman filter strategy.
本文以T42数值预报产品为因子，用卡尔曼滤波方法建立可更新系数的预报方程作南京和芜湖的温度预报。
The temperature forecasting equation with renewed coefficients are set up by using Kalman filter technique based on the factors of T42 productions for forecasting in Nanjing and Wuhu.
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.
在陀螺稳定吊舱算法研究中，本文首先通过对微机械陀螺信号进行处理，提出了一种滑动平均—卡尔曼滤波方法。
Secondly, a new method of moving average-Kalman filtering proposed is used to process the MEMS gyroscope signal of the gyro stabilized pod control system.
本工作从核辐射脉冲信号波形的物理特性分析出发，讨论了卡尔曼滤波方法在实测脉冲信号序列基线估计中的应用效果。
The validity of this method was cerified by experiment and result analysis of relative physical property from nuclear radiation pulse signals.
结合实际重力仪的系统状态方程和系统量测方程，提出了级联卡尔曼滤波方法，并将其应用于重力异常畸变信号的校正处理中。
Combined with the system state equation and the measurement equation, a new method of the cascade Kalman filter is proposed and applied to the correction of gravity anomaly distortion.
基于一维相控阵引信的波束控制技术，推导了最佳起爆角和起爆延时算法，并研究了一种改进卡尔曼滤波方法在此算法中的应用。
Based on beam control technology of one-dimension phased-array fuze, the paper deduced the optimal burst Angle and burst delay algorithm and researched an improved Kalman algorithm.
卡尔曼滤波方法已广泛应用于动态测量数据的处理，其单位权方差通常按新息向量和观测值的残差向量进行计算，增加了观测值残差向量的计算。
Kalman filtering method is widely used in data adjustment of dynamic surveying system, whose unit variance is usually computed with innovation vector of parameters and residual vector of observations.
提出一种基于卡尔曼滤波器的永磁同步电机永磁体磁场状况在线监测方法。
A new on-line permanent magnet flux linkage identification method for PMSM is presented to reduce the negative influence caused by demagnetization or position feed-back error.
为了解决常规卡尔曼滤波法存在的不足，给出了用模糊推理系统与卡尔曼法相结合的方法。
In order to resolve the shortcomings of the traditional Kalman filtering, a new method is presented in which the fuzzy reasoning system is combined with the traditional Kalman technology.
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 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.
本文利用时间序列谱分析和卡尔曼滤波的方法讨论了两个随机过程，主要是自回归滑动平均(ARMA)过程，的叠加问题。
Using the methods of time series spectral analysis and Kalman filter, this article discussed the additive problems of two stochastic processes, mainly Auto Regression Moving Average (ARMA) processes.
本文利用时间序列谱分析和卡尔曼滤波的方法讨论了两个随机过程，主要是自回归滑动平均(ARMA)过程，的叠加问题。
Using the methods of time series spectral analysis and Kalman filter, this article discussed the additive problems of two stochastic processes, mainly Auto Regression Moving Average (ARMA) processes.
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