Description: 介绍kalman（卡尔曼）滤波器的英文文章
Kalman Filtering:Theory and Practice Using MATLAB, Second Edition-introduced Tracking (Kalman) filter English texts Kalman Filtering : Theory and Practice Using MATLAB, Second Edition Platform: |
Size: 3176633 |
Author:陈晨 |
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Description: 多目标卡尔曼滤波算法，
虽然使用了第三方库，但不影响对kalmen跟踪算法的理解。-Multi-objective Kalman filter algorithm, although the use of third-party libraries, but does not affect the kalmen tracking algorithm understanding. Platform: |
Size: 230400 |
Author:孙亚峰 |
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Description: 假设一物体围绕一圆周运动，角加速度是白噪声，观测噪声也是零均值的白噪声。编程使用卡尔曼滤波器实现运动物体的跟踪。-Suppose an object around a circular motion, the angular acceleration is white noise, measurement noise is zero mean white noise. Programming using a Kalman filter to achieve tracking moving objects. Platform: |
Size: 4096 |
Author:gxr |
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Description: The Unscented Kalman Filter for State Estimation
of 3-Dimension Bearing-Only Tracking
WANG Wan-ping
1,2
1
Institute of Optics and Electronics, Chinese Academy of
Sciences, Chendu, P.R. China
2
Graduate School of the Chinese Academy of Sciences,
Beijing, P.R. China
LIAO Sheng1
, XING Ting-wen1
Institute of Optics and Electronics,
Chinese Academy of Sciences,
Chendu, P.R. China
e-mail: BDBQX_LS@sina.com-The Unscented Kalman Filter for State Estimation
of 3-Dimension Bearing-Only Tracking
WANG Wan-ping
1,2
1
Institute of Optics and Electronics, Chinese Academy of
Sciences, Chendu, P.R. China
2
Graduate School of the Chinese Academy of Sciences,
Beijing, P.R. China
LIAO Sheng1
, XING Ting-wen1
Institute of Optics and Electronics,
Chinese Academy of Sciences,
Chendu, P.R. China
e-mail: BDBQX_LS@sina.com Platform: |
Size: 296960 |
Author:Gomaa Haroun |
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Description: The extended Kalman filter applied to bearings-only target tracking
is theoretically analyzed. Closed-form expressions for the state
vector and its associated covariance matrix are introduced, and subsequently
used to demonstrate how bearing and range estimation
errors can interact to cause filter instability (i.e., premature covariance
collapse and divergence). Further investigation reveals that
conventional initialization techniques often precipitate such anomalous
behavior. These results have important practical implications
and are not presently being exploited to full advantage. Platform: |
Size: 1933312 |
Author:Gomaa Haroun |
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Description: 运用kalman实现目标跟踪,采用仿真数据，添加观测噪声，使用kalman滤波器进行轨迹预测。(Use Kalman to realize target tracking.Adopted simulation data with observated noise and use kalman filter to predict moving trajectory.) Platform: |
Size: 1024 |
Author:德雅村吴彦祖 |
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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 |
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Description: 此程序是用于单目标的跟踪定位代码，系统选用匀加速的情况，代码没有bug，可直接运行出结果，比较了运用KF前后的RMSE均方根误差，有图形表示，适合初学者学习Kalman Filter。 用得好，麻烦好评一下，谢谢嘻嘻嘻！(This program is used for single target tracking and positioning code. The system adopts uniform acceleration. The code has no bugs and can directly run the results. RMSE root mean square error before and after KF is compared. It has graphical representation. It is suitable for beginners to learn Kalman Filter. Good use, please give me a good comment. Thank you.) Platform: |
Size: 64512 |
Author:Satisfying |
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Description: Y. Kim and H. Bang, Introduction to Kalman Filter and Its Applications, InTechOpen, 2018
% Example 3.3.1 - Target tracking Platform: |
Size: 1715 |
Author:kwksel91@gmail.com |
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