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GPS: Theory, Algorithms and Applications (Paperback)
  • GPS: Theory, Algorithms and Applications (Paperback)
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GPS: Theory, Algorithms and Applications (Paperback)

(author), (author)
£129.99
Paperback 489 Pages / Published: 07/06/2018
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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.

Publisher: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
ISBN: 9783662570531
Number of pages: 489
Weight: 7781 g
Dimensions: 235 x 155 x 27 mm
Edition: Softcover reprint of the original 3rd ed. 201


MEDIA REVIEWS
"It focuses on the theory, algorithms, and applications of GPS. ... The book contains many illustrations, some of which are in color, references at the end of chapters and also at the end of the book, two appendices, and a handy index. ... This book will be useful for those interested in studying or working with navigational systems such as GPS." (Computing Reviews, June, 2017)

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