Download or read book An Extended Control Loop Kalman Filter for Hybrid Inertial Navigation Systems written by A. M. Smit and published by . This book was released on 1991 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book The Evaluation of Kalman Filter Designs for Multisensor Integrated Navigation Systems written by Joseph A. D'Appolito and published by . This book was released on 1971 with total page 206 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Kalman Fintering for Aided Inertial Navigation System written by David Andrew Korka and published by . This book was released on 1999 with total page 69 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Kalman Filtering written by Mohinder S. Grewal and published by John Wiley & Sons. This book was released on 2015-02-02 with total page 639 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Comparison of Linearized and Extended Kalman Filter in GPS aided Inertial Navigation System written by and published by . This book was released on 2000 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Tightly coupled Image aided Inertial Navigation System Via a Kalman Filter written by Michael G. Giebner and published by . This book was released on 2003 with total page 97 pages. Available in PDF, EPUB and Kindle. Book excerpt: Inertial navigation systems and GPS system's have revolutionized the world of navigation. Inertial system's are incapable of being jammed and are the backbone of most navigation system's. GPS is highly accurate over long periods of time, and it is an excellent aid to inertial navigation system's. However, as a military force we must be prepared to deal with the denial of the GPS signal. This thesis seeks to determine it, via simulation, it is viable to aid an INS with visual measurements.
Download or read book Comparison of Linearized and Extended Kalman Filter in GPS aided Inertial Navigation System microform written by Pande (Pande Putu Gde) Hartana and published by National Library of Canada = Bibliothèque nationale du Canada. This book was released on 2000 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Application of Extended Kalman Filtering to a Dynamic Laboratory Calibration of an Inertial Navigation System written by Frazier Jackson Hellings and published by . This book was released on 1973 with total page 250 pages. Available in PDF, EPUB and Kindle. Book excerpt: The report describes a data reduction technique that obtains estimates of inertial sensor error model coefficients from a dynamic laboratory calibration of a typical Inertial Navigation System. The error model coefficients are those associated with gyros, accelerometers, and their misalignment errors that have been found by test and analysis to be the predominant sources of error affecting system accuracy. All the error terms considered are categorized as either fixed (independent of applied acceleration), first-order (proportional to the first power of acceleration), or higher-order terms, which are proportional to the square or cube of acceleration. In the case of the higher-order terms, the error model coefficients of inertial grade sensors are from one to four orders of magnitude smaller than the fixed and first-order terms. (Modified author abstract).
Download or read book Ames aided Inertial Navigation Work The First Two Years of Progress written by and published by . This book was released on 1973 with total page 44 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Kalman Filter with Complementary Constraint and Integrated Navigation Systems Applications written by Leo Edward Ott and published by . This book was released on 1971 with total page 153 pages. Available in PDF, EPUB and Kindle. Book excerpt: The report presents a method of navigation system integration that yields an optimal system regardless of the particular redundancy in available sensor data. The proposed mechanization is based on the criterion that the statistics of the signal are unknown. This results in the concept of distortionless or complementary filtering; an extensive review of this concept is presented. When the measurement errors for the Kalman filter are independent, it is shown that the inputs can be processed sequentially, even with the complementary constraint imposed. Thus, if there is an input that is not available, it is simply passed over, and an optimal estimate is still obtained from the remaining inputs. This even allows for a failure in the inertial navigation unit itself, whereas in most hybrid inertial systems to date this would be impossible. (Author).
Download or read book Kalman Filtering written by Mohinder S. Grewal and published by John Wiley & Sons. This book was released on 2011-09-20 with total page 458 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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. Note: CD-ROM/DVD and other supplementary materials are not included as part of eBook file. An Instructor's Manual presenting detailed solutions to all the problems in the book is available from the Wiley editorial department -- to obtain the manual, send an email to [email protected].
Download or read book A Kalman Filter Solution to Integrated Inertial and GPS Navigation Systems written by Michael Craig Dickey and published by . This book was released on 1996 with total page 142 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Theory and Applications of Kalman Filtering written by Cornelius T. Leondes and published by . This book was released on 1970 with total page 560 pages. Available in PDF, EPUB and Kindle. Book excerpt: Contents: Linear estimation theory; Further comments on the derivation of Kalman filters; Computational techniques in Kalman filtering; Modeling errors in Kalman filters; Suboptimal Kalman filter techniques; Comparison of Kalman, Bayesian and maximum likelihood estimation techniques; Nonlinear filtering and comparison with Kalman filtering; Linear smoothing techniques (post-flight data analysis); Nonlinear smoothing techniques; General questions on Kalman filtering in navigation systems; Application of Kalman filtering theory to augmented inertial navigation systems; Application of Kalman filtering to Baro/inertial height systems; Application of Kalman filtering to the C-5 guidance and control system; Application of Kalman filtering techniques to the Apollo program; Some applications of Kalman filtering in space guidance; Application of Kalman filtering for the alighnment of carrier aircraft inertial navigation systems; Navigation at sea using the invariants form of Kalman filtering; Marine applications of Kalman filtering; Optimal use of redundant information in an inertial navigation; Application of Kalman filtering techniques to strapdown system initia-alignment; and A Kalman filter augmented marine navigation system.
Download or read book Kalman Filtering and Information Fusion written by Hongbin Ma and published by Springer Nature. This book was released on 2019-11-27 with total page 295 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book addresses a key technology for digital information processing: Kalman filtering, which is generally considered to be one of the greatest discoveries of the 20th century. It introduces readers to issues concerning various uncertainties in a single plant, and to corresponding solutions based on adaptive estimation. Further, it discusses in detail the issues that arise when Kalman filtering technology is applied in multi-sensor systems and/or multi-agent systems, especially when various sensors are used in systems like intelligent robots, autonomous cars, smart homes, smart buildings, etc., requiring multi-sensor information fusion techniques. Furthermore, when multiple agents (subsystems) interact with one another, it produces coupling uncertainties, a challenging issue that is addressed here with the aid of novel decentralized adaptive filtering techniques.Overall, the book’s goal is to provide readers with a comprehensive investigation into the challenging problem of making Kalman filtering work well in the presence of various uncertainties and/or for multiple sensors/components. State-of-art techniques are introduced, together with a wealth of novel findings. As such, it can be a good reference book for researchers whose work involves filtering and applications; yet it can also serve as a postgraduate textbook for students in mathematics, engineering, automation, and related fields.To read this book, only a basic grasp of linear algebra and probability theory is needed, though experience with least squares, navigation, robotics, etc. would definitely be a plus.
Download or read book Application of Kalman Filtering to Inertial Navigation Systems written by Lawrence James O'Brien and published by . This book was released on 1967 with total page 150 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Automatic Control in Space 1985 written by J. P. Chretien and published by Elsevier. This book was released on 2014-06-28 with total page 326 pages. Available in PDF, EPUB and Kindle. Book excerpt: Presents an authoritative overview of the recent developments and technical advances in the applications of automated control to space technology. Topics covered include: geostationary satellites, scientific satellites, flexible systems, low earth orbit satellites, orbit and trajectory control, component technology, platforms, rendez-vous and docking (RVD) and manipulators. Contains 39 research and review papers.
Download or read book An Extended Kalman Filter for Quaternion Based Attitude Estimation written by Joao L. Marins and published by . This book was released on 2000-09-01 with total page 111 pages. Available in PDF, EPUB and Kindle. Book excerpt: This thesis develops an extended Kalman filter for real-time estimation of rigid body motion altitude. The filter represents rotations using quaternions rather than Euler angles, which eliminates the long-standing problem of singularities associated with those angles. A process model for rigid body angular motions and angular rate measurements is defined. The process model converts angular rates into quaternion rates, which are in turn integrated to obtain quaternions. The outputs of the model are values of three-dimensional angular rates, three-dimensional linear accelerations, and three-dimensional magnetic field vector. Gauss-Newton iteration is utilized to find the best quaternion that relates the measured linear accelerations and earth magnetic field in the body coordinate frame to calculated values in the earth coordinate frame. The quaternion obtained from the optimization algorithm is used as part of the observations for the Kalman filter. As a result, the measurement equations become linear. A new approach to attitude estimation is introduced in this thesis. The computational requirements related to the extended Kalman filter developed using this approach are significantly reduced, making it possible to estimate attitude in real-time. Extensive static and dynamic simulation of the filter using Matlab proved it to be robust. Test cases included the presence of large initial errors as well as high noise levels. In all cases the filter was able to converge and accurately track attitude.
