Inertial Navigation Systems with Geodetic Applications

by Christopher Jekeli

Overview

This book covers all aspects of inertial navigation systems (INS), including the sensor technology and the estimation of instrument errors, as well as their integration with Global Navigation Satellite Systems, specifically the Global Positioning System (GPS) for geodetic applications. The text is of interest to geodesists, including surveyors, mappers, and photogrammetrists; to engineers in aviation, navigation, guidance, transportation, and robotics; and to scientists involved in aerogeophysics and remote sensing. The most recent developments are covered with this second edition that also features an updated treatment of the classical material.

• Detailed mathematical derivations of the principles of measurement and data processing of inertial measurement units for both stabilized and strapdown systems.

• Complete treatment of the error dynamics from a statistical viewpoint, including the Kalman filter.

• A self-contained description of GPS with emphasis on kinematic applications.
• Key concepts supported by illustrations and numerical examples.

Product Details

ISBN-13:	9783110784213
Publisher:	De Gruyter
Publication date:	07/24/2023
Edition description:	2nd Edition
Pages:	424
Product dimensions:	6.69(w) x 9.45(h) x (d)
Age Range:	18 Years

About the Author

Christopher Jekeli, Ohio State University, Professor Emeritus, USA.

Editorial Reviews

Though Jekeli (civil and environmental engineering and geodetic science, Ohio State U.) is a devoted geodesist, his treatment of the mathematical aspects of inertial navigation systems and their integration with the Global Positioning System should be helpful for those who want to use the information for other purposes then measuring and determining the Earth's surface, such as precise navigation and positioning. It is suitable for a graduate or senior semester course for students fluent in the differential and integral calculi and the basic vector and matrix algebras; some previous expose to complex variables, differential equations, and numerical and statistical analysis would also help. Annotation c. Book News, Inc., Portland, OR (booknews.com)

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