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Author: ADVISORY GROUP FOR AEROSPACE RESEARCH AND DEVELOPMENT NEUILLY-SUR-SEINE (France)
Publisher:
ISBN:
Category :
Languages : en
Pages : 187
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Book Description
;Contents: Experiences in the development of aided INS for aircraft; Practical considerations in implementing Kalman filters; Experiences with the B- 1 navigation filter; Experiences in flight testing hybrid navigation systems; Etude et realisations de filtres de Kalman pour systemes de navigation; A ship tracking system using a Kalman-Schmidt filter; Design and analysis of low-order filters applied to the alignment of inertial platforms; Kalman filter bibliography.
Author: ADVISORY GROUP FOR AEROSPACE RESEARCH AND DEVELOPMENT NEUILLY-SUR-SEINE (France)
Publisher:
ISBN:
Category :
Languages : en
Pages : 187
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Book Description
;Contents: Experiences in the development of aided INS for aircraft; Practical considerations in implementing Kalman filters; Experiences with the B- 1 navigation filter; Experiences in flight testing hybrid navigation systems; Etude et realisations de filtres de Kalman pour systemes de navigation; A ship tracking system using a Kalman-Schmidt filter; Design and analysis of low-order filters applied to the alignment of inertial platforms; Kalman filter bibliography.
Author: North Atlantic Treaty Organization. Advisory Group for Aerospace Research and Development
Publisher:
ISBN: 9789283501602
Category : Inertial navigation (Aeronautics)
Languages : en
Pages : 190
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Book Description
Author: NATO.. Advisory group for aerospace research and development
Publisher:
ISBN:
Category :
Languages : en
Pages : 186
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Book Description
Author: Felix Govaers
Publisher: BoD – Books on Demand
ISBN: 1838805362
Category : Computers
Languages : en
Pages : 130
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Book Description
Sensor data fusion is the process of combining error-prone, heterogeneous, incomplete, and ambiguous data to gather a higher level of situational awareness. In principle, all living creatures are fusing information from their complementary senses to coordinate their actions and to detect and localize danger. In sensor data fusion, this process is transferred to electronic systems, which rely on some "awareness" of what is happening in certain areas of interest. By means of probability theory and statistics, it is possible to model the relationship between the state space and the sensor data. The number of ingredients of the resulting Kalman filter is limited, but its applications are not.
Author: Mohinder S. Grewal
Publisher: John Wiley & Sons
ISBN: 111898496X
Category : Technology & Engineering
Languages : en
Pages : 639
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Book Description
The definitive textbook and professional reference on Kalman Filtering – fully updated, revised, and expanded This book contains the latest developments in the implementation and application of Kalman filtering. Authors Grewal and Andrews draw upon their decades of experience to offer an in-depth examination of the subtleties, common pitfalls, and limitations of estimation theory as it applies to real-world situations. They present many illustrative examples including adaptations for nonlinear filtering, global navigation satellite systems, the error modeling of gyros and accelerometers, inertial navigation systems, and freeway traffic control. Kalman Filtering: Theory and Practice Using MATLAB, Fourth Edition is an ideal textbook in advanced undergraduate and beginning graduate courses in stochastic processes and Kalman filtering. It is also appropriate for self-instruction or review by practicing engineers and scientists who want to learn more about this important topic.
Author:
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Book Description
Author: Bruce P. Gibbs
Publisher: John Wiley & Sons
ISBN: 1118003160
Category : Technology & Engineering
Languages : en
Pages : 559
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Book Description
This book is intended primarily as a handbook for engineers who must design practical systems. Its primary goal is to discuss model development in sufficient detail so that the reader may design an estimator that meets all application requirements and is robust to modeling assumptions. Since it is sometimes difficult to a priori determine the best model structure, use of exploratory data analysis to define model structure is discussed. Methods for deciding on the “best” model are also presented. A second goal is to present little known extensions of least squares estimation or Kalman filtering that provide guidance on model structure and parameters, or make the estimator more robust to changes in real-world behavior. A third goal is discussion of implementation issues that make the estimator more accurate or efficient, or that make it flexible so that model alternatives can be easily compared. The fourth goal is to provide the designer/analyst with guidance in evaluating estimator performance and in determining/correcting problems. The final goal is to provide a subroutine library that simplifies implementation, and flexible general purpose high-level drivers that allow both easy analysis of alternative models and access to extensions of the basic filtering. Supplemental materials and up-to-date errata are downloadable at http://booksupport.wiley.com.
Author: Mohinder S. Grewal
Publisher: Wiley-Interscience
ISBN:
Category : Computers
Languages : en
Pages : 424
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Book Description
Disk contains: Demonstation programs and source code in MATLAB for algorithms in text.
Author: Paul Zarchan
Publisher: AIAA (American Institute of Aeronautics & Astronautics)
ISBN: 9781600867187
Category : Aeronautics
Languages : en
Pages : 0
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Book Description
Numerical basics -- Method of least squares -- Recursive least-squares filtering -- Polynomial Kalman filters -- Kalman filters in a nonpolynomial world -- Continuous polynomial Kalman filter -- Extended Kalman filtering -- Drag and falling object -- Cannon-launched projectile tracking problem -- Tracking a sine wave -- Satellite navigation -- Biases -- Linearized Kalman filtering -- Miscellaneous topics -- Fading-memory filter -- Assorted techniques for improving Kalman-filter performance -- Fixed-memory filters -- Chain-rule and least-squares filtering -- Filter bank approach to tracking a sine wave -- Appendix A: Fundamentals of Kalman-filtering software -- Appendix B: Key formula and concept summary
Author: Geir Evensen
Publisher: Springer Science & Business Media
ISBN: 3540383018
Category : Science
Languages : en
Pages : 285
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Book Description
This book reviews popular data-assimilation methods, such as weak and strong constraint variational methods, ensemble filters and smoothers. The author shows how different methods can be derived from a common theoretical basis, as well as how they differ or are related to each other, and which properties characterize them, using several examples. Readers will appreciate the included introductory material and detailed derivations in the text, and a supplemental web site.
