Global Positioning Systems, Inertial Navigation, and Integration

This book puts all together concepts and theories normally found only in separated books. GPS, inertial navigation and how to integrate both things normally require reading a lot of different articles and journals. These subjects are individually complex and demanding but its modern GPS concepts approach were deep enough to allow the proper correlation between the inertial theory and GPS through the Kalman Filtering. The book demands some previous and basic concepts knowledge regarding filtering. And if you are a self-made student you will miss the answers for the proposed problems which worth trying to solve. But it should not prevent you to buy this book. It is clear that the authors are not only one of main expertise on their area but know how to transmit their great experience. An updated guide to GNSS and INS, and solutions to real-world GPS/INS problems with Kalman filtering Written by recognized authorities in the field, this second edition of a landmark work provides engineers, computer scientists, and others with a working familiarity with the theory and contemporary applications of Global Navigation Satellite Systems (GNSS), Inertial Navigational Systems (INS), and Kalman filters. Throughout, the focus is on solving real-world problems, with an emphasis on the effective use of state-of-the-art integration techniques for those systems, especially the application of Kalman filtering. To that end, the authors explore the various subtleties, common failures, and inherent limitations of the theory as it applies to real-world situations, and provide numerous detailed application examples and practice problems, including GNSS-aided INS, modeling of gyros and accelerometers, and SBAS and GBAS. Drawing upon their many years of experience with GNSS, INS, and the Kalman filter, the authors present numerous design and implementation techniques not found in other professional references. This Second Edition has been updated to include: GNSS signal integrity with SBAS Mitigation of multipath, including results Ionospheric delay estimation with Kalman filters New MATLAB programs for satellite position determination using almanac and ephemeris data and ionospheric delay calculations from single and dual frequency data New algorithms for GEO with L1 /L5 frequencies and clock steering Implementation of mechanization equations in numerically stable algorithms To enhance comprehension of the subjects covered, the authors have included software in MATLAB, demonstrating the working of the GNSS, INS, and filter algorithms. In addition to showing the Kalman filter in action, the software also demonstrates various practical aspects of finite word length arithmetic and the need for alternative algorithms to preserve result accuracy. The only comprehensive guide to Kalman filtering and its applications to real-world GPS/INS problems Written by recognized authorities in the field, this book provides engineers, computer scientists, and others with a working familiarity with the theory and contemporary applications of Global Positioning Systems (GPS), Inertial Navigational Systems, and Kalman filters. Throughout, the focus is on solving real-world problems, with an emphasis on the effective use of state-of-the-art integration techniques for those systems, especially the application of Kalman filtering. To that end, the authors explore the various subtleties, common failures, and inherent limitations of the theory as it applies to real-world situations, and provide numerous detailed application examples and practice problems, including GPS-aided INS, modeling of gyros and accelerometers, and WAAS and LAAS. Drawing upon their many years of experience with GPS, INS, and the Kalman filter, the authors present numerous design and implementation techniques not found in other professional references, including original techniques for: • Representing the problem in a mathematical model • Analyzing the performance of the GPS sensor as a function of model parameters • Implementing the mechanization equations in numerically stable algorithms • Assessing computation requirements • Testing the validity of results • Monitoring GPS, INS, and Kalman filter performance in operation In order to enhance comprehension of the subjects covered, the authors have included software in MATLAB, demonstrating the workings of the GPS, INS, and filter algorithms. In addition to showing the Kalman filter in action, the software also demonstrates various practical aspects of finite word length arithmetic and the need for alternative algorithms to preserve result accuracy. The Global Positioning System (GPS) may be used in conjunction with Inertial Navigation Systems (INS) for tracking and navigation. Already integrated into automobiles and hand held electronic devices, this technology is finding new and innovative applications in numerous industries. This title examines Kalman filtering, an essential element in the signal processing of these systems, enabling them to function effectively. The five basic forms of navigation are as follows: 1. Pilotage, which essentially relies on recognizing landmarks to know where you are.