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![]( "Buchcover ISBN 9781118523537")
Global Navigation Satellite Systems, Inertial Navigation, and Integration
von Mohinder S. Grewal, Angus P. Andrews und Chris G. BartoneAn updated guide to GNSS, and INS, and solutions to real-worldGNSS/INS problems with Kalman filtering
Written by recognized authorities in the field, this thirdedition of a landmark work provides engineers, computer scientists, and others with a working familiarity of the theory andcontemporary applications of Global Navigation Satellite Systems(GNSS), Inertial Navigational Systems, and Kalman filters. Throughout, the focus is on solving real-world problems, with anemphasis on the effective use of state-of-the-art integrationtechniques for those systems, especially the application of Kalmanfiltering. To that end, the authors explore the various subtleties, common failures, and inherent limitations of the theory as itapplies to real-world situations, and provide numerous detailedapplication examples and practice problems, including GNSS-aidedINS (tightly and loosely coupled), modeling of gyros andaccelerometers, and SBAS and GBAS.
Drawing upon their many years of experience with GNSS, INS, andthe Kalman filter, the authors present numerous design andimplementation techniques not found in other professionalreferences. The Third Edition includes:
* Updates on the upgrades in existing GNSS and other systemscurrently under development
* Expanded coverage of basic principles of antenna design andpractical antenna design solutions
* Expanded coverage of basic principles of receiver design and anupdate of the foundations for code and carrier acquisition andtracking within a GNSS receiver
* Expanded coverage of inertial navigation, its history, itstechnology, and the mathematical models and methods used in itsimplementation
* Derivations of dynamic models for the propagation of inertialnavigation errors, including the effects of drifting sensorcompensation parameters
* Greatly expanded coverage of GNSS/INS integration, includingderivation of a unified GNSS/INS integration model, itsMATLAB® implementations, and performance evaluation undersimulated dynamic conditions
The companion website includes updated background material; additional MATLAB scripts for simulating GNSS-only and integratedGNSS/INS navigation; satellite position determination; calculationof ionosphere delays; and dilution of precision.
Written by recognized authorities in the field, this thirdedition of a landmark work provides engineers, computer scientists, and others with a working familiarity of the theory andcontemporary applications of Global Navigation Satellite Systems(GNSS), Inertial Navigational Systems, and Kalman filters. Throughout, the focus is on solving real-world problems, with anemphasis on the effective use of state-of-the-art integrationtechniques for those systems, especially the application of Kalmanfiltering. To that end, the authors explore the various subtleties, common failures, and inherent limitations of the theory as itapplies to real-world situations, and provide numerous detailedapplication examples and practice problems, including GNSS-aidedINS (tightly and loosely coupled), modeling of gyros andaccelerometers, and SBAS and GBAS.
Drawing upon their many years of experience with GNSS, INS, andthe Kalman filter, the authors present numerous design andimplementation techniques not found in other professionalreferences. The Third Edition includes:
* Updates on the upgrades in existing GNSS and other systemscurrently under development
* Expanded coverage of basic principles of antenna design andpractical antenna design solutions
* Expanded coverage of basic principles of receiver design and anupdate of the foundations for code and carrier acquisition andtracking within a GNSS receiver
* Expanded coverage of inertial navigation, its history, itstechnology, and the mathematical models and methods used in itsimplementation
* Derivations of dynamic models for the propagation of inertialnavigation errors, including the effects of drifting sensorcompensation parameters
* Greatly expanded coverage of GNSS/INS integration, includingderivation of a unified GNSS/INS integration model, itsMATLAB® implementations, and performance evaluation undersimulated dynamic conditions
The companion website includes updated background material; additional MATLAB scripts for simulating GNSS-only and integratedGNSS/INS navigation; satellite position determination; calculationof ionosphere delays; and dilution of precision.
