Location:
Search - 扩展KALMAN滤波算法
Search list
Description: 扩展kalman 滤波的Matlab学习程序,特点是简单,能够设置输入参数,直观理解算法原理.
Platform: |
Size: 1058 |
Author: 郭春生 |
Hits:
Description: EKF滤波
扩展kalman 滤波的matlab学习程序,特点是简单,能够设置输入参数,直观理解算法原理.
Platform: |
Size: 8316 |
Author: lulu |
Hits:
Description: 扩展KALMAN滤波算法MATLAB 原代码
Platform: |
Size: 1506 |
Author: simulation2008 |
Hits:
Description: 扩展Kalman滤波器算法的例程，可以用于对非线性系统的目标状态进行动态估计。例如曲线运动目标的轨迹跟踪。
Platform: |
Size: 3282 |
Author: lag209@sina.com |
Hits:
Description: 摘 要:姿态信息是飞行控制中最关键的参数之一,因此姿 态测量成为飞行控制系统首要解决的问题。利用多MEMS 传感器研制了一种微型姿态测量系统。利用三轴MEMS加 速度计和三轴MEMS陀螺数据,由方向余弦矩阵的姿态表 示形式推导了扩展Kalman滤波方程,解算出飞行器的俯仰 角和横滚角;设计专家系统判断飞行器的运动状态,并根据 该状态调整滤波算法中的测量噪声矩阵,使系统可同时满足 静态情况和动态情况的使用;利用空速和高度数据对俯仰 角进行修正,利用GPS解算航向角。将实验结果与国外最新 的商用自动驾驶仪的姿态结果进行了比较,二者在静态情况 下非常吻合,在动态情况下基本吻合。
Platform: |
Size: 50053 |
Author: cisca.cn@gmail.com |
Hits:
Description: 这是学习扩展卡尔曼滤波算法的很好的一个程序。-this study is extended Kalman Filter algorithm of a very good process.
Platform: |
Size: 14336 |
Author: 陈圣 |
Hits:
Description: 一种扩展卡尔曼滤波算法源程序 简单易懂 功能强大-an extended Kalman filter algorithm source code is simple to understand the powerful
Platform: |
Size: 6144 |
Author: 张相爱 |
Hits:
Description: 扩展kalman 滤波的Matlab学习程序,特点是简单,能够设置输入参数,直观理解算法原理.-Matlab extended kalman filter learning process, is characterized by simple, to set the input parameters, intuitive understanding algorithm.
Platform: |
Size: 1024 |
Author: 郭春生 |
Hits:
Description: 目标跟踪的扩展卡尔曼滤波算法主函数的文件是：kal_demo.m 近似网格滤波的主函数文件是：bayes_demo.m 近似网格滤波划分网格的方法是：以目标上一个时刻的位置作为中心进行网格的划分，每个网格大小为1，-Target tracking extended Kalman filter algorithm is the main function of the document: kal_demo.m approximate mesh filter paper is the main function: bayes_demo.m approximate mesh filter into the grid method is: in order to target the location of a moment as the central to carry out the division of the grid, each grid size of 1,
Platform: |
Size: 94208 |
Author: 王明 |
Hits:
Description: EKF滤波
扩展kalman 滤波的matlab学习程序,特点是简单,能够设置输入参数,直观理解算法原理.
-EKF extended kalman filter matlab filter learning process, is characterized by simple, to set the input parameters, intuitive understanding algorithm.
Platform: |
Size: 8192 |
Author: lulu |
Hits:
Description: 实现了1D,2D,3D空间自由度下的运动参数的扩展Kalman滤波算法，文章2008 IROS Visual SLAM for 3D Large-Scale Seabed Acquisition Employing Underwater Vehicles的具体实现。-a novel technique to align
partial 3D reconstructions of the seabed acquired by a stereo
camera mounted on an autonomous underwater vehicle. Vehicle
localization and seabed mapping is performed simultaneously
by means of an Extended Kalman Filter. Passive landmarks
are detected on the images and characterized considering 2D
and 3D features. Landmarks are re-observed while the robot
is navigating and data association becomes easier but robust.
Once the survey is completed, vehicle trajectory is smoothed by
a Rauch-Tung-Striebel filter obtaining an even better alignment
of the 3D views and yet a large-scale acquisition of the seabed.
Platform: |
Size: 274432 |
Author: Li Yanli |
Hits:
Description: 主要对扩展卡尔曼滤波（EKF）、无迹卡尔曼滤波（UKF）及改进无迹卡尔曼滤波（MAUKF）算法进行研究，研究了三种算法的基本原理和各自的特点。其中扩展卡尔曼滤波器是将卡尔曼滤波器局部线性化，其算法简单，计算量小，适用于弱非线性、高斯环境。无迹卡尔曼滤波器是用一系列确定样本来逼近状态的后验概率密度。改进无迹卡尔曼滤波算法在UKF的基础上引入衰减因子。-The thesis focuses on the extended Kalman filter (EKF), unscented Kalman filter (UKF) and the improvement of unscented Kalman filter (MAUKF) algorithm research, researched the basic principles of three algorithms and their characteristics. Extended Kalman filter (EKF) is the local linear Kalman filter, the algorithm and computation are simple in weakly nonlinear and Gaussian environment. Unscented Kalman filter (UKF) is determined using a series of samples to approximate the state posterior probability density. Improved UKF algorithm (MAUKF) is introduced attenuation factor based on the UKF.
Platform: |
Size: 2048 |
Author: zyz |
Hits:
Description: 姿态信息是飞行控制中最关键的参数之一,因此姿态测量成为飞行控制系统首要解决的问题。利用多MEMS传感器研制了一种微型姿态测量系统。利用三轴MEMS加速度计和三轴MEMS陀螺数据,由方向余弦矩阵的姿态表示形式推导了扩展Kalman滤波方程,解算出飞行器的俯仰角和横滚角 设计专家系统判断飞行器的运动状态,并根据该状态调整滤波算法中的测量噪声矩阵,使系统可同时满足静态情况和动态情况的使用 利用空速和高度数据对俯仰角进行修正,利用GPS解算航向角。将实验结果与国外最新
的商用自动驾驶仪的姿态结果进行了比较,二者在静态情况下非常吻合,在动态情况下基本吻合。
- The attitude information is one of the most important
parameters in flight control systems. This paper describes an
attitude measurement system based on a MEMS multi-sensor. The
data from 3-axis MEMS accelerators and 3-axis MEMS gyros is used
to determine the pitch angle and the roll angle of the air vehicle using
an extended Kalman filter (EKF) equation deduced from the
direction cosine matrix. An expert system was designed to estimate
the vehicle motion to adjust the measurement noise matrix of the
extended Kalman filter equation so that the system can be used in
dynamic as well as static environments. The measured airspeed and
altitude are also used to revise the pitch angle. The heading is
determined from GPS information. Test results compare well with
an imported commercial autopilot in a static test with less accurate
results in a dynamic test.
Platform: |
Size: 50176 |
Author: cisca |
Hits:
Description: 本手册的研究内容主要有Kalman滤波，扩展Kalman滤波，无迹Kalman滤波等，包括理论介绍和MATLAB源程序两部分。本手册所介绍的线性滤波器，主要是Kalman滤波和α-β滤波，交互多模型Kalman滤波，这些算法的应用领域主要有温度测量、自由落体，GPS导航、石油地震勘探、视频图像中的目标检测和跟踪-kalman and Application
Platform: |
Size: 346112 |
Author: 蹚抗旱 |
Hits:
Description: 有关kalman滤波以及扩展kalman滤波的详细中文解释()
Platform: |
Size: 408576 |
Author: jonbu |
Hits:
Description: 卡尔曼滤波原理及应用—MATLAB仿真主要介绍数字信号处理中的卡尔曼（Kalman）滤波算法及在相关领域应用。全书共7章。第1章为绪论。第2章介绍MATLAB算法仿真的编程基础。第3章介绍线性Kalman滤波。第4章讨论扩展Kalman滤波，并介绍其在目标跟踪和制导领域的应用和算法仿真。第5章介绍UKF滤波算法，同时也给出其应用领域内的算法仿真实例。第6章介绍了交互多模型Kalman滤波算法。第7章介绍Simulink环境下，如何通过模块库和S函数构建Kalman滤波器，并给出了系统是线性和非线性两种情况的滤波器设计方法(Principle and Application of Kalman Filter - MATLAB simulation mainly introduces Kalman filtering algorithm in digital signal processing and its application in related fields. The book consists of 7 chapters. The first chapter is the introduction. The second chapter introduces the programming foundation of MATLAB algorithm simulation. The third chapter introduces linear Kalman filtering. Chapter 4 discusses the extended Kalman filter, and introduces its application and algorithm simulation in the field of target tracking and guidance. The fifth chapter introduces the UKF filtering algorithm, and gives an example of algorithm simulation in its application area. The sixth chapter introduces the interacting multiple model Kalman filtering algorithm. Chapter 7 introduces how to construct Kalman filter by module library and S-function in Simulink environment, and gives the design method of Kalman filter for both linear and nonlinear systems.)
Platform: |
Size: 13403136 |
Author: jianjian健健 |
Hits:
Description: 卡尔曼滤波是贝叶斯滤波的一种特例,是在线性滤波的前提下,以最小均方误差为最佳准则的。估计线性高斯模型,是对线性模型和高斯分布的优化方法。(Kalman filtering is a special case of Bayesian filtering, which takes the minimum mean square error as the best criterion on the premise of linear filtering. Estimating linear Gauss model is an optimization method for linear model and Gauss distribution.)
Platform: |
Size: 3072 |
Author: zzq040 |
Hits:
Description: 一种非线性卡尔曼滤波算法，相对于扩展卡尔曼滤波，具有更好的非线性估计精度(A nonlinear Kalman filter algorithm which has better nonlinear estimation accuracy than the extended Kalman filter)
Platform: |
Size: 1024 |
Author: fengsong |
Hits:
Description: 扩展卡尔曼滤波算法的simulink模型(Extended Kalman Filter)
Platform: |
Size: 1024 |
Author: yuer0503 |
Hits:
Description: 扩展卡尔曼滤波算法程序及仿真，适用于初学者验证算法(kalman program and simulink)
Platform: |
Size: 17408 |
Author: 我要赢 |
Hits: