Inertial Navigation Systems with Geodetic Applications / / Christopher Jekeli.

• Superior document: Title is part of eBook package: De Gruyter DG Plus DeG Package 2023 Part 1
• VerfasserIn: Jekeli, Christopher,
• MitwirkendeR: Jekeli, C.,
• Place / Publishing House: Berlin ;, Boston : : De Gruyter, , [2023]; ©2023
• Year of Publication: 2023
• Edition: 2nd Edition
• Language: English
• Physical Description: 1 online resource (XVIII, 406 p.)
• Other title: Frontmatter --; PREFACE --; Preface to the Second Edition --; Abstract --; Contents --; 1 Coordinate Frames and Transformations --; 2 Ordinary Differential Equations --; 3 Inertial Measurement Units --; 4 Inertial Navigation System --; 5 System Error Dynamics --; 6 Stochastic Processes and Error Models --; 7 Linear Estimation --; 8 INS Initialization and Alignment --; 9 The Global Positioning System (GPS) --; 10 Geodetic Application --; References --; Index
• Format: Mode of access: Internet via World Wide Web.
• ISBN: 9783110784329; 9783111175782; 9783111319292; 9783111318912; 9783111319230; 9783111318660
• DOI: 10.1515/9783110784329
• Access: restricted access
• Hierarchical level: Monograph
• Statement of Responsibility: Christopher Jekeli.

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.