Description: In 1960, R.E. Kalman published his famous paper describing a recursive solution to the discretedata
linear filtering problem [Kalman60]. Since that time, due in large part to advances in digital
computing, the
Kalman filter
has been the subject of extensive research and application,
particularly in the area of autonomous or assisted navigation. A very “friendly” introduction to the
general idea of the Kalman filter can be found in Chapter 1 of [Maybeck79], while a more complete
introductory discussion can be found in [Sorenson70], which also contains some interesting
historical narrative.-In 1960, R. E. Kalman published his famous paper describ ing a recursive solution to the discretedata li near filtering problem [Kalman60]. Since that time, due in large part to advances in digital computi Vi, the Kalman filter has been the subject of extens ive research and application. particularly in the area of autonomous or assis ted navigation. A very "friendly" introductio n to the general idea of the Kalman filter can be f ound in Chapter 1 of [Maybeck79] while a more complete introductory discussion can be found in [Sorenson70] which also contains some interesting historic al narrative. Platform: |
Size: 243985 |
Author:上将 |
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Description: In 1960, R.E. Kalman published his famous paper describing a recursive solution to the discretedata
linear filtering problem [Kalman60]. Since that time, due in large part to advances in digital
computing, the
Kalman filter
has been the subject of extensive research and application,
particularly in the area of autonomous or assisted navigation. A very “friendly” introduction to the
general idea of the Kalman filter can be found in Chapter 1 of [Maybeck79], while a more complete
introductory discussion can be found in [Sorenson70], which also contains some interesting
historical narrative.-In 1960, R. E. Kalman published his famous paper describ ing a recursive solution to the discretedata li near filtering problem [Kalman60]. Since that time, due in large part to advances in digital computi Vi, the Kalman filter has been the subject of extens ive research and application. particularly in the area of autonomous or assis ted navigation. A very "friendly" introductio n to the general idea of the Kalman filter can be f ound in Chapter 1 of [Maybeck79] while a more complete introductory discussion can be found in [Sorenson70] which also contains some interesting historic al narrative. Platform: |
Size: 243712 |
Author:上将 |
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Description: 用C语言实现的kalman滤波程序（一般网上只有用MATLAB实现的）。-Using C language procedures realize the kalman filter (usually online only achieved with MATLAB). Platform: |
Size: 2048 |
Author:sdf |
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Description: 1960年，卡尔曼发表了他著名的用递归方法解决离散数据线性滤波
问题的论文。从那以后，得益于数字计算技术的进步，卡尔曼滤波器
已成为推广研究和应用的主题，尤其是在自主或协助导航领域。-In 1960, Kalman published his famous recursive solution using discrete data linear filtering problem papers. Since then, figures to benefit from advances in technology, Kalman filter has become the promotion of research and application of the theme, especially in the field of autonomous or assisted navigation. Platform: |
Size: 409600 |
Author:kysuli |
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Description: 本实验是利用卡尔曼滤波器实现一维匀加速运动的轨迹跟踪。卡尔曼滤波是一种时域滤波方法，它采用状态空间方法描述系统，算法采用递推机制，数据存储量小，在导航领域有成功的应用。-This experiment is the use of Kalman filter to achieve a one-dimensional constant acceleration of the trajectory tracking. Kalman filter is a time-domain filtering method, which uses state-space description of systems, algorithms using recursive mechanisms, data storage a small amount of success in the navigation area of the application. Platform: |
Size: 33792 |
Author:yunguangmei |
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Description: Kalman滤波理论及其在导航系统中的应用.pdf-Kalman filtering theory and its application in navigation system application. Pdf Platform: |
Size: 4048896 |
Author:changyuan009 |
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Description: This book constitutes an excellent source for understanding the basic operation of the Global Positioning Systems (GPS). It also allows the reader to take the first steps towards understanding how the Kalman Filter is implemented in the estimation of drifting parameters of the GPS. The "Kalman Filter Basics" chapter is preceded by a description of the different errors that affect the GPS signals. Furthermore, this book includes sections on the Wide-Area Augmentation System, Inertial Navigation, and Differential GPS, which enables the understanding of these concepts and thus, provides the reader an overall perspective of the Global Positioning System. Platform: |
Size: 3961856 |
Author:anna |
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Description: 这本书提供了坚实的介绍卡尔曼滤波的理论和实践方面的读者。它已经更新了卡尔曼滤波，包括适应非线性滤波，更可靠的平滑方法，并在导航应用程序开发的实施和应用的最新发展。所有的软件是在MATLAB中，提供给读者的机会，发现如何卡尔曼滤波行动，并考虑实际运算需要保持结果的准确性。-This book provides readers with a solid introduction to the theoretical and practical aspects of Kalman filtering. It has been updated with the latest developments in the implementation and application of Kalman filtering, including adaptations for nonlinear filtering, more robust smoothing methods, and developing applications in navigation. All software is provided in MATLAB, giving readers the opportunity to discover how the Kalman filter works in action and to consider the practical arithmetic needed to preserve the accuracy of results. Platform: |
Size: 3176448 |
Author:luaw2006 |
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Description: 捷联惯导系统解算程序，并包含有kalman滤波组合导航、组合对准程序 演示程序
-SINS solver, and includes integrated navigation kalman filtering, combined demonstration program aimed at program Platform: |
Size: 27648 |
Author:小龙 |
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Description: 讲述了kalman滤波在导航中的应用，对卡尔曼滤波算法进行了详细的推导(The application of Kalman filtering in navigation is described, and the Calman filtering algorithm is derived in detail.) Platform: |
Size: 4077568 |
Author:峰峰
|
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