卡尔曼

迭代扩展卡尔曼滤波用于实时GPS数据处理

Iterated Extended Kalman Filter Application to Real time GPS Data Processing

神经网络优化动态GPS卡尔曼滤波算法研究

Study of Neural Network optimizes Dynamic GPS Kalman Filtering Algorithm

新型GPS动态定位自适应卡尔曼滤波方法

A new self-adaptive Kalman filtering method for GPS kinematic positioning

卡尔曼滤波可靠性分析及其在动态GPS定位中的应用

Reliability Analysis for Kalman Filtering and Its Application in Kinematic GPS Positioning

GPS动态定位的强跟踪卡尔曼滤波研究

Modified Strong Tracking Kalman Filter and Its Application in GPS Kinematic Positioning for Moving Vehicles

应用BP网络校正的卡尔曼滤波器

Corrected Kalman Filter Using BP Neural Network

一种新的车载DR系统自适应卡尔曼滤波模型

New Modified Adaptive Extended Kalman Filter of DR System for Land Vehicle Navigation

卡尔曼滤波器的FPGA实现

The Kalman Filter Realized with FPGA

卡尔曼滤波在多维AR序列建模中的应用

Application of Kalman filter in modeling multi-dimensional ar series

速度误差反馈调平可以达到较高的精度，但是快速性不如卡尔曼滤波和H∞滤波；

The velocity error linear feedback can obtain high precision , but the speediness is lower than Kalman filter andH ∞ filter .

通过MonteCarlo仿真，给出了基于双星定位的扩展卡尔曼滤波算法对目标的弹道参数估计的结果。

Trajectory parameters EKF estimation result based on two satellites positioning is given by Monte Carlo simulation .

减小SA影响的卡尔曼德波法

Reducing the Effect of SA with Kalman Filtering

非线性估计的Sigma点卡尔曼滤波方法

Sigma Point Kalman Filter for Non - linear Estimation

针对模糊控制技术进行了无人机控制算法研究，对于姿态测量信号以及导航信息，利用了卡尔曼滤波的方式进行了数据处理，并进行了GPS／惯性导航的组合导航技术的研究；

Using the fuzzy control on the control methods , and apply the KALMAN filter wave on the measured information and combined navigation ;

针对MeanShift算法缺乏必要的模板更新方法的缺陷，提出了一种基于卡尔曼滤波器组的MeanShift模板更新算法。

To improve the limitation of Mean Shift lacks method of template update , an algorithm of template update based a group of Kalman filters is proposed .

为了克服扩展卡尔曼（Kalman）滤波算法对噪声统计特性的约束，针对磁强计量测噪声为有色噪声伴常值干扰的特性，提出了一种基于扩维Kalman滤波算法的地磁导航算法。

In order to overcome the noise restriction of the extend Kalman filtering , an augmented navigation algorithm is established .

Sigma点卡尔曼滤波及其应用

Sigma-point Kalman filter and its application

应用卡尔曼滤波方法，对采用GPS姿态测量信息对惯性导航系统的误差修正能力进行分析和仿真。

By adopting the Kalman filtering method , the capability of correcting the error of inertial navigation system using GPS attitude information is analyzed and simulated .

基于卡尔曼滤波的动态OD矩阵估计

Kalman Filtering Based Dynamic OD Matrix Estimation

基于HMM的卡尔曼蛇跟踪

HMM-Based Kalman Snake for Contour Tracking

研究了利用GPS预报电离层TEC和监测电离层扰动的方法。在分析电离层时空相关性的基础上，利用离散系统的卡尔曼滤波方程对电离层TEC进行了预报；

Lastly , study the method of predicting TEC and scouting ionospheric disturbance by GPS data .

采用一种新的自适应卡尔曼滤波多用户检测算法估计CDMA系统多用户接收器的最优判决向量，高性能盲自适应多用户检测算法。

A new multiuser detector based on adaptive Kalman filter is described to estimate the optimal decision vector of CDMA multiuser receiver .

分析了现有机动目标数学模型及其卡尔曼滤波算法，并用数字信号处理器（DSP）对一个实际算法进行了实验。

In this paper , the writers analyse the current maneuvering target models and their Kalman filtering algorithms , and experiment on a practical algorithm with DSP .

介绍了一种新的自适应卡尔曼滤波算法，该法当R（或Q）已知时可以准确地估计出Q（或R）。

A new algorithm of adaptive Kalman filter is introduced which can estimate Q ( or R ) accurately when R ( or Q ) is known .

提出了一种用于惯性测量组合（IMU）姿态估计的扩展卡尔曼滤波器。

This paper presents an extended Kalman filter for IMU attitude estimation .

根据集合卡尔曼滤波产生的必要条件，介绍了集合卡尔曼滤波整合动态数据和3D地震数据的基本原理。

According to the application conditions of the Ensemble Kalman , we introduce the basic principles of integration of dynamic data and 3D seismic data using the Ensemble Kalman Filter .

由于传统卡尔曼滤波算法模型建立的近似性，本文讨论了自适应滤波算法和BP神经网络理论，它们是对传统卡尔曼滤波算法的改进和突破。

Due to the model 's inexactitude of traditional Kalman filter , we discuss adaptive filtering and BP neural network which are the improvement of traditional Kalman filter .

该算法利用卡尔曼滤波实现了CDMA蜂窝网系统和GPS定位数据融合，提出高移动目标的事实上的位精度。

The location data fusion of CDMA wireless system and PS is implemented using the Kalman filter , which improves the position accuracy of mobile station .

主要内容包括：将获取的GPS数据转换为世界坐标然后进行卡尔曼滤波，提高了坐标的精确性；

The work contents are mainly composed of : translating the GPS data to Cartesian coordinates and then using the kalman filter to improve the precise of the coordinates ;

采用MeanShift和卡尔曼滤波相结合的目标跟踪算法对目标进行实时跟踪，并验证了该算法实时性较好，鲁棒性较高。

The combined algorithm of Mean Shift and Kalman Filter is used to track target . The algorithm has proved to be good real time and robust by large number of experiments .