Description: 在matlab simulink 中实现kalman滤波器设计，可以生动的演示kalman滤波在运动估计中的预测作用-Matlab simulink in achieving kalman filter design can be a vivid demonstration of kalman filtering in the motion estimation of the prediction Platform: |
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Author:冯安祥 |
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Description: RADPLOT Radar Data Processing Tracker plotting function, This function works with several extended Kalman filter
demos in Simulink and other demos-RADPLOT Radar Data Processing Tracker plotting function, This function works with several extended Kalman filter demos in Simulink and other demos Platform: |
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Author:li dong |
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Description: 本教程介绍了如何实现Simulink中扩展卡尔曼滤波的例子。如果你不熟悉的Simulink然后看看在这里的一些通用的Simulink教程讨论如何构建和执行简单的模型。如果你不熟悉卡尔曼滤波器或扩展卡尔曼滤波背后的数学，然后查看链接教程-This tutorial presents an example of how to implement an Extended Kalman filter in Simulink. If you are unfamiliar with Simulink then look here for some generic Simulink tutorials discussing how to build and simple models. If you are unfamiliar with the mathematics behind the Kalman Filter or the Extended Kalman Filter then see the linked tutorials Platform: |
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Author:liu xiaofang |
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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: |
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Author:jianjian健健 |
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