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| Author | : Pa Cheboh Saine |
| Publisher | : |
| Total Pages | : |
| Release | : 1998 |
| Genre | : |
| ISBN | : |
| Author | : |
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| Release | : 1998 |
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| Author | : Bruce P. Gibbs |
| Publisher | : John Wiley & Sons |
| Total Pages | : 559 |
| Release | : 2011-03-29 |
| Genre | : Technology & Engineering |
| ISBN | : 1118003160 |
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 | : Joseph A. D'Appolito |
| Publisher | : |
| Total Pages | : 206 |
| Release | : 1971 |
| Genre | : Inertial navigation systems |
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| Author | : Mohinder S. Grewal |
| Publisher | : John Wiley & Sons |
| Total Pages | : 639 |
| Release | : 2015-02-02 |
| Genre | : Technology & Engineering |
| ISBN | : 111898496X |
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 | : Stephen J. Delory |
| Publisher | : |
| Total Pages | : 111 |
| Release | : 1995 |
| Genre | : Global Positioning System |
| ISBN | : |
| Author | : Felix Govaers |
| Publisher | : BoD – Books on Demand |
| Total Pages | : 130 |
| Release | : 2019-05-22 |
| Genre | : Computers |
| ISBN | : 1838805362 |
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 | : Wiley-Interscience |
| Total Pages | : 424 |
| Release | : 2001-01-16 |
| Genre | : Computers |
| ISBN | : |
Disk contains: Demonstation programs and source code in MATLAB for algorithms in text.
| Author | : ADVISORY GROUP FOR AEROSPACE RESEARCH AND DEVELOPMENT NEUILLY-SUR-SEINE (France) |
| Publisher | : |
| Total Pages | : 187 |
| Release | : 1976 |
| Genre | : |
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;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 | : Hassen Fourati |
| Publisher | : CRC Press |
| Total Pages | : 607 |
| Release | : 2016-11-03 |
| Genre | : Technology & Engineering |
| ISBN | : 1498745806 |
There has been an increasing interest in multi-disciplinary research on multisensor attitude estimation technology driven by its versatility and diverse areas of application, such as sensor networks, robotics, navigation, video, biomedicine, etc. Attitude estimation consists of the determination of rigid bodies’ orientation in 3D space. This research area is a multilevel, multifaceted process handling the automatic association, correlation, estimation, and combination of data and information from several sources. Data fusion for attitude estimation is motivated by several issues and problems, such as data imperfection, data multi-modality, data dimensionality, processing framework, etc. While many of these problems have been identified and heavily investigated, no single data fusion algorithm is capable of addressing all the aforementioned challenges. The variety of methods in the literature focus on a subset of these issues to solve, which would be determined based on the application in hand. Historically, the problem of attitude estimation has been introduced by Grace Wahba in 1965 within the estimate of satellite attitude and aerospace applications. This book intends to provide the reader with both a generic and comprehensive view of contemporary data fusion methodologies for attitude estimation, as well as the most recent researches and novel advances on multisensor attitude estimation task. It explores the design of algorithms and architectures, benefits, and challenging aspects, as well as a broad array of disciplines, including: navigation, robotics, biomedicine, motion analysis, etc. A number of issues that make data fusion for attitude estimation a challenging task, and which will be discussed through the different chapters of the book, are related to: 1) The nature of sensors and information sources (accelerometer, gyroscope, magnetometer, GPS, inclinometer, etc.); 2) The computational ability at the sensors; 3) The theoretical developments and convergence proofs; 4) The system architecture, computational resources, fusion level.
