GPS - Theory, Algorithms and Applications (Paperback, Softcover reprint of the original 3rd ed. 2016)

This reference and handbook describes theory, algorithms and applications of the Global Positioning System (GPS/Glonass/Galileo/Compass). It is primarily based on source-code descriptions of the KSGsoft program developed at the GFZ in Potsdam. The theory and algorithms are extended and verified for a new development of a multi-functional GPS/Galileo software. Besides the concepts such as the unified GPS data processing method, the diagonalisation algorithm, the adaptive Kalman filter, the general ambiguity search criteria, and the algebraic solution of variation equation reported in the first edition, the equivalence theorem of the GPS algorithms, the independent parameterisation method, and the alternative solar radiation model reported in the second edition, the modernisation of the GNSS system, the new development of the theory and algorithms, and research in broad applications are supplemented in this new edition. Mathematically rigorous, the book begins with the introduction, the basics of coordinate and time systems and satellite orbits, as well as GPS observables, and deals with topics such as physical influences, observation equations and their parameterisation, adjustment and filtering, ambiguity resolution, software development and data processing and the determination of perturbed orbits.

General

Imprint:	Springer-Verlag
Country of origin:	Germany
Release date:	June 2018
First published:	2016
Authors:	Guochang Xu • Yan Xu
Dimensions:	235 x 155 x 27mm (L x W x T)
Format:	Paperback
Pages:	489
Edition:	Softcover reprint of the original 3rd ed. 2016
ISBN-13:	978-3-662-57053-1
Categories:	Books > Earth & environment > Geography > General Books > Computing & IT > General theory of computing > Data structures Books > Computing & IT > Computer programming > Algorithms & procedures Books > Science & Mathematics > Physics > Applied physics & special topics > Geophysics
LSN:	3-662-57053-X
Barcode:	9783662570531

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