移动机器人的导航子系统利用卡尔曼滤波器，融合由视觉系统与由里程计获得的位置估计值。
The navigation subsystem of the mobile robot fuses the position estimation obtained by a vision system with the position estimated by odometry using a Kalman filter.
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.
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。
An extended Kalman filtering (EKF) algorithm is designed for radiolocation in cellular communication system, simulation is conducted to examine its performance.
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.
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。
A fast Kalman filtering algorithm of netted radar system is presented for tracking a maneuvering target.
对采样数据进行卡尔曼滤波以提高控制的精度并且加入前馈增强系统的动态跟踪性能。
We promote the precision of control system by using Kalman filter to process the sample data and intensify the dynamic tracking properties by adding feed forward.
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。
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.
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.
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。
Nowadays integrated navigation system based on Kalman Filtering theory has efficiently increased the cost performance ratio.
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。
The Successive Orthogonalization Decentralized Kalman Filter (SODKF ) is a new method which is used for large system state estimation.
因此，在非线性系统中，基于转换测量值卡尔曼滤波算法的分布融合算法可以重构集中式融合算法。
So it can be concluded that in nonlinear systems distributed fusion algorithm based on converted measurement Kalman filtering can basically reconstruct centralized fusion algorithm.
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.
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.
因此，在非线性系统中，基于转换测量值卡尔曼滤波算法的分布融合算法可以重构集中式融合算法。
So it is concluded that in nonlinear systems distributed fusion algorithm based on converted measurement Kalman filtering can basically reconstruct a centralized fusion algorithm.
针对电池检测系统中对电池充放电电流高精度的要求，论述了卡尔曼滤波算法在电池检测系统中的应用。
Based on the demand of high accurate current of battery charging and discharging in battery testing system, this paper discussed the application of Kalman filtering arithmetic in it.
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。
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.
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。
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.
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。
M-band wavelet is used to approximate the projection relationship between the scale Spaces, and system model that satisfies Kalman filter condition is built.
本文针对无速度传感器异步电机矢量控制系统，提出了一个基于卡尔曼滤波器的异步电机速度辨识方法。
For a vector control of a speed sensor less induction motor drive system, a novel speed estimated method using an extended Kalman filter is proposed.
本文设计的卡尔曼滤波器适用于对地观测卫星的测量系统，能获取较低噪声的姿态测量信息。
The Kalman filter is suitable to the measuring system of a remote sensing satellite, by which an attitude measurement information with lower noise can be obtained.
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。
Moreover, the optimal state-feedback control modules and Kalman filter are added in the model, then the whole LQG control system is constructed directly.
考虑一类时延网络控制系统，提出了一种具有时延补偿功能的卡尔曼滤波器设计方法，并对系统进行状态估计。
Considering a class of networked control systems with time delays, a novel method was proposed to design Kalman filters with delay compensation, and it was used to estimate the state of the system.
基于无轴承永磁同步电机的矢量控制系统，提出了采用扩展卡尔曼滤波器实现无速度传感器运行的控制策略。
Based on vector control system of Bearingless Permanent Magnet Synchronous Motor (BPMSM), a speed-sensorless control strategy using Extended Kalman Filter (EKF) was presented.
在GPS信号不可用时，利用SINS和GPS得到数据所形成的误差值来驱动卡尔曼滤波器估计系统误差。
Once the GPS signal is effective, the data gained from SINS and GPS can calculate error value which drives Kalman filter and estimates system error.
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。
An extended Kalman filter with adaptive gain was used to build a miniature attitude and heading reference system based on stochastic model.
首先介绍了卡尔曼滤波理论的应用背景，然后推导了离散卡尔曼滤波方程，并对连续系统的状态方程进行离散化。
At first, the application background of Kalman filter theory is introduced. Then, discrete Kalman filter equations are derived, and state equations of continuous system are discreted.
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.
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。
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.
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。
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.
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