Download or read book High Accuracy Aircraft to Satellite Tracking Using an Extended Kalman Filter written by Robert A. K. Mitchell and published by . This book was released on 1974 with total page 166 pages. Available in PDF, EPUB and Kindle. Book excerpt: A 61-state truth model is developed for the aircraft to satellite tracking problem. The equations for the Extended Kalman Filter are described and the truth model is examined and simplified to give a 12-state reduced order filter model of the system. Using the method of Covariance Analysis which is described, the performance of the 12-state filter model against the 61-state truth model is evaluated with the dynamics profile of a high altitude aircraft tracking a near earth satellite in a circular polar orbit.

Download or read book High Accuracy Aircraft to Satellite Tracking An Evaluation of Two Proposed Filter Models written by Robert E Mann (Jr) and published by . This book was released on 1976 with total page 144 pages. Available in PDF, EPUB and Kindle. Book excerpt: This study treats the high accuracy tracking of a satellite from an aircraft. The purpose is to evaluate the feasibility of several reduced order system models for implementation in an extended Kalman filter formulation whose estimates would be used to aid the tracker. The first filter model is a twelve state model in which filter estimates of the satellite inertial position and velocity are obtained and used in the estimation of the tracker states. A second, six state-model deletes these six satellite states, and tracker state estimation is accomplished by exploiting the information already available in the tracking geometry, dominant modes of satellite dynamics, and the range measurement. Tracker state estimation is accomplished in the line of sight coordinate frame for both filter formulations. A covariance analysis was performed, evaluating each filter against a 42 state truth model. The tracking profile used in the study was specifically designed to evaluate each filter's state estimation capability when faced with a highly nonlinear tracker angular rate history. It was concluded that the six state filter is a viable alternative, and, with some proposed modifications, is preferable (because of its simplicity and lower computational burden) and warrants further study. (Author).

Download or read book A Generalized Monte Carlo Analysis Program for Kalman Filter Design with Application to an Aircraft to Satellite Tracking Filter written by Kenneth L Jackson (Jr) and published by . This book was released on 1977 with total page 309 pages. Available in PDF, EPUB and Kindle. Book excerpt: A generalized Monte Carlo Analysis Program (MCAP) has been developed for linear or extended Kalman filter design. A detailed users' guide for MCAP is included in Appendix A. In addition, this study treats the high accuracy tracking of a satellite from an aircraft. The purpose of the study is to evaluate the feasibility of a reduced order system model for implementation in an extended Kalman filter formulation whose estimates would be used to aid the tracker. The six state model accomplishes tracker state estimation by exploiting the information already available in the tracking geometry, dominant modes of satellite dynamics, and the range measurement. Tracker state estimation is accomplished in the line-of-sight coordinate frame. A Monte Carlo analysis was performed, evaluating the filter against a 42-state truth model. With some proposed modifications, it was concluded that the six state filter is feasible and warrants further study.

Download or read book Scientific and Technical Aerospace Reports written by and published by . This book was released on 1994 with total page 892 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Investigation of Real Time Satellite to Satellite Tracking Using Extended Kalman Filters written by Henry J. Laughlin and published by . This book was released on 1978 with total page 116 pages. Available in PDF, EPUB and Kindle. Book excerpt: The feasibility of adapting an extended Kalman filter to the real-time satellite-to-satellite tracking problem is investigated. A filter using linear propagation and nonlinear measurements is formulated. This filter accepts tracker measurements to provide the state estimates (position, velocity, and acceleration) of the tracked satellite in the local inertial reference frame. Six different filters are programmed in American National Standards Institute (ANSI) FORTRAN. These filters employ various covariance update techniques and methods of processing the measurement vector. The programs are compared for computer program storage requirements, program execution speeds, and computational precision. The computer program storage requirements are determined by utilizing the FORTRAN IV-PLUS compiler on a PDP-11/45 minicomputer. The program execution speeds are found by timing on the PDP-11/45 the filter's reaction to a typical renedvous between two space vehicles.

Download or read book In Flight Simulators and Fly by Wire Light Demonstrators written by Peter G. Hamel and published by Springer. This book was released on 2017-03-15 with total page 359 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers the first complete account of more than sixty years of international research on In-Flight Simulation and related development of electronic and electro-optic flight control system technologies (“Fly-by-Wire” and “Fly-by-Light”). They have provided a versatile and experimental procedure that is of particular importance for verification, optimization, and evaluation of flying qualities and flight safety of manned or unmanned aircraft systems. Extensive coverage is given in the book to both fundamental information related to flight testing and state-of-the-art advances in the design and implementation of electronic and electro-optic flight control systems, which have made In-Flight Simulation possible. Written by experts, the respective chapters clearly show the interdependence between various aeronautical disciplines and in-flight simulation methods. Taken together, they form a truly multidisciplinary book that addresses the needs of not just flight test engi neers, but also other aeronautical scientists, engineers and project managers and historians as well. Students with a general interest in aeronautics as well as researchers in countries with growing aeronautical ambitions will also find the book useful. The omission of mathematical equations and in-depth theoretical discussions in favor of fresh discussions on innovative experiments, together with the inclusion of anecdotes and fascinating photos, make this book not only an enjoyable read, but also an important incentive to future research. The book, translated from the German by Ravindra Jategaonkar, is an extended and revised English edition of the book Fliegende Simulatoren und Technologieträger , edited by Peter Hamel and published by Appelhans in 2014.

Download or read book International Aerospace Abstracts written by and published by . This book was released on 1999 with total page 974 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Understanding Least Squares Estimation and Geomatics Data Analysis written by John Olusegun Ogundare and published by John Wiley & Sons. This book was released on 2018-10-10 with total page 720 pages. Available in PDF, EPUB and Kindle. Book excerpt: Provides a modern approach to least squares estimation and data analysis for undergraduate land surveying and geomatics programs Rich in theory and concepts, this comprehensive book on least square estimation and data analysis provides examples that are designed to help students extend their knowledge to solving more practical problems. The sample problems are accompanied by suggested solutions, and are challenging, yet easy enough to manually work through using simple computing devices, and chapter objectives provide an overview of the material contained in each section. Understanding Least Squares Estimation and Geomatics Data Analysis begins with an explanation of survey observables, observations, and their stochastic properties. It reviews matrix structure and construction and explains the needs for adjustment. Next, it discusses analysis and error propagation of survey observations, including the application of heuristic rule for covariance propagation. Then, the important elements of statistical distributions commonly used in geomatics are discussed. Main topics of the book include: concepts of datum definitions; the formulation and linearization of parametric, conditional and general model equations involving typical geomatics observables; geomatics problems; least squares adjustments of parametric, conditional and general models; confidence region estimation; problems of network design and pre-analysis; three-dimensional geodetic network adjustment; nuisance parameter elimination and the sequential least squares adjustment; post-adjustment data analysis and reliability; the problems of datum; mathematical filtering and prediction; an introduction to least squares collocation and the kriging methods; and more. Contains ample concepts/theory and content, as well as practical and workable examples Based on the author's manual, which he developed as a complete and comprehensive book for his Adjustment of Surveying Measurements and Special Topics in Adjustments courses Provides geomatics undergraduates and geomatics professionals with required foundational knowledge An excellent companion to Precision Surveying: The Principles and Geomatics Practice Understanding Least Squares Estimation and Geomatics Data Analysis is recommended for undergraduates studying geomatics, and will benefit many readers from a variety of geomatics backgrounds, including practicing surveyors/engineers who are interested in least squares estimation and data analysis, geomatics researchers, and software developers for geomatics.

Download or read book Nonlinear Estimation written by Shovan Bhaumik and published by CRC Press. This book was released on 2019-07-24 with total page 197 pages. Available in PDF, EPUB and Kindle. Book excerpt: Nonlinear Estimation: Methods and Applications with Deterministic Sample Points focusses on a comprehensive treatment of deterministic sample point filters (also called Gaussian filters) and their variants for nonlinear estimation problems, for which no closed-form solution is available in general. Gaussian filters are becoming popular with the designers due to their ease of implementation and real time execution even on inexpensive or legacy hardware. The main purpose of the book is to educate the reader about a variety of available nonlinear estimation methods so that the reader can choose the right method for a real life problem, adapt or modify it where necessary and implement it. The book can also serve as a core graduate text for a course on state estimation. The book starts from the basic conceptual solution of a nonlinear estimation problem and provides an in depth coverage of (i) various Gaussian filters such as the unscented Kalman filter, cubature and quadrature based filters, Gauss-Hermite filter and their variants and (ii) Gaussian sum filter, in both discrete and continuous-discrete domain. Further, a brief description of filters for randomly delayed measurement and two case-studies are also included. Features: The book covers all the important Gaussian filters, including filters with randomly delayed measurements. Numerical simulation examples with detailed matlab code are provided for most algorithms so that beginners can verify their understanding. Two real world case studies are included: (i) underwater passive target tracking, (ii) ballistic target tracking. The style of writing is suitable for engineers and scientists. The material of the book is presented with the emphasis on key ideas, underlying assumptions, algorithms, and properties. The book combines rigorous mathematical treatment with matlab code, algorithm listings, flow charts and detailed case studies to deepen understanding.

Download or read book Masters Theses in the Pure and Applied Sciences written by Wade H. Shafer and published by Springer Science & Business Media. This book was released on 2013-03-09 with total page 300 pages. Available in PDF, EPUB and Kindle. Book excerpt: Masters Theses in the Pure and Applied Sciences was first conceived, published, and disseminated by TPRC at Purdue University in 1957, starting its coverage of theses with the academic year 1955. Beginning with Volume 13, the printing and dissemina tion phases of the activity was transferred to University Microfilms/Xerox of Ann Arbor, Michigan, with the thought that such an arrangement would be more beneficial to the academic and general scientific and technical community. After five years of this joint undertaking we have concluded that it will be in the interest of all concerned if the printing and distribution of the volume were handled by a well-known publishing house to assure improved service and better communication. Hence, effective with this Volume 18, Masters Theses in the Pure and Applied Sciences will be disseminated on a worldwide basis by Plenum Publishing Corporation of New York. All back issues can also be ordered from Plenum. As we embark on this new partnership with Plenum, we also initiate a new venture in that this important annual reference work now covers Canadian universities as well as those in the United States. We are sure that this broader base will greatly enhance the value of these volumes.

Download or read book Introduction and Implementations of the Kalman Filter written by Felix Govaers and published by BoD – Books on Demand. This book was released on 2019-05-22 with total page 130 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Development and Evaluation of a Kalman filter Algorithm for Terminal Area Navigation Using Sensors of Moderate Accuracy written by Gerd Kanning and published by . This book was released on 1983 with total page 158 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book High Accuracy Aircraft to Satellite Tracing written by Robert E. Mann (CAPT, USAF.) and published by . This book was released on 1976 with total page 266 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Advances in Aerospace Guidance Navigation and Control written by Qiping Chu and published by Springer Science & Business Media. This book was released on 2013-11-18 with total page 773 pages. Available in PDF, EPUB and Kindle. Book excerpt: Following the successful 1st CEAS (Council of European Aerospace Societies) Specialist Conference on Guidance, Navigation and Control (CEAS EuroGNC) held in Munich, Germany in 2011, Delft University of Technology happily accepted the invitation of organizing the 2nd CEAS EuroGNC in Delft, The Netherlands in 2013. The goal of the conference is to promote new advances in aerospace GNC theory and technologies for enhancing safety, survivability, efficiency, performance, autonomy and intelligence of aerospace systems using on-board sensing, computing and systems. A great push for new developments in GNC are the ever higher safety and sustainability requirements in aviation. Impressive progress was made in new research fields such as sensor and actuator fault detection and diagnosis, reconfigurable and fault tolerant flight control, online safe flight envelop prediction and protection, online global aerodynamic model identification, online global optimization and flight upset recovery. All of these challenges depend on new online solutions from on-board computing systems. Scientists and engineers in GNC have been developing model based, sensor based as well as knowledge based approaches aiming for highly robust, adaptive, nonlinear, intelligent and autonomous GNC systems. Although the papers presented at the conference and selected in this book could not possibly cover all of the present challenges in the GNC field, many of them have indeed been addressed and a wealth of new ideas, solutions and results were proposed and presented. For the 2nd CEAS Specialist Conference on Guidance, Navigation and Control the International Program Committee conducted a formal review process. Each paper was reviewed in compliance with good journal practice by at least two independent and anonymous reviewers. The papers published in this book were selected from the conference proceedings based on the results and recommendations from the reviewers.

Download or read book An Extended Kalman Filter to Track Aircraft Parameter Variations written by A.S. Haj-Hassan and published by . This book was released on 1982 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book GPS INS Integration for Improved Aircraft Attitude Estimates written by Daniel T. Bagley and published by . This book was released on 1991 with total page 242 pages. Available in PDF, EPUB and Kindle. Book excerpt: This report documents research into the design, implementation, and analysis of a post-mission navigation error estimation algorithm for the Electronic Counter-Countermeasures/Advanced Radar Test Bed (ARTB). In order to quantify the effects of Electronic Countermeasures (ECM) on a given radar accurately, extremely accurate navigation information for ARTB and a given test target must be available for use as reference or truth data. Presently, the ARTB navigation subsystem provides adequate accuracy in position and velocity; however, its computation of attitude does not meet the level of accuracy required for airborne radar flight testing. An extended Kalman filter algorithm is implemented in a filter-driving-filter configuration to integrate the outputs of a Global Positioning System Receiver 3A and a SNU 84-1 Inertial Navigation System in order to estimate and compensate for inertial navigation system errors. The specific objective of integrating the two systems is to enhance the accuracy of ARTB's attitude indications. Outputs from the 12-state GPS Kalman filter simulation are used as measurements in the 23-state Integration Kalman Filter. Monte Carlo simulations are run for measurement update intervals of 5, 10, and 15 seconds, and for both benign (less than 2-g) and highly dynamic (up to 9-g) flight scenarios. Cross-correlation between GPS Kalman filter estimation errors and true INS system errors is also examined. Results indicate that this i8ntegration scheme provides an increase in accuracy for position and velocity of up to 98%, and an increase in accuracy for attitude of up to 88% over the unaided INS alone.

Download or read book An Improved Kalman Filter for Satellite Orbit Predictions written by and published by . This book was released on 2004 with total page 24 pages. Available in PDF, EPUB and Kindle. Book excerpt: The nonlinear problem of tracking and predicting where a satellite will be over some time can be difficult with the recognition of modeling error and ground site radar tracking errors. For this reason it is important to have an accurate modeling program with the fidelity to correct for any errors in orbital motion and predict the most accurate positioning at some future time. The Extended Kalman Filter is one such program that can accurately determine position over time given estimate ranges for sources of error. However, the Extended Kalman Filter contains many linear approximations that allow its prediction and correction methods to work. This paper will discuss the effects of replacing the linearizing approaches made in the orbital model part of the program with numerical small-step approaches. The overall errors during prediction will be compared for an analysis of the corrective ability of the filter. Additionally a final prediction at a later date and another location will serve as an indicator to the usefulness of the prediction capabilities over time.