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2022 | OriginalPaper | Buchkapitel

7. GNSS Data Processing

verfasst von: Clement A. Ogaja

Erschienen in: Introduction to GNSS Geodesy

Verlag: Springer International Publishing

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Abstract

This chapter discusses the typical processing workflow for estimating geodetic parameters from GNSS data. The scope is limited to post-processed data from relative static positioning, and the processing starts with raw GNSS observables. However, in the case of data reprocessing, normal equations become the starting point of the processing workflow. The chapter starts with preprocessing step that is common in GNSS software packages and is meant for quality control of data before the actual processing occurs. This is followed by a section focused on ambiguity fixing for precise positioning (and other parameter estimations). The chapter concludes with a section on reprocessing and data combinations from normal equations.
Vorheriges Kapitel GNSS CORS Networks and Data
Fußnoten
1
Acceptance test, an optional step after integer estimation, consists of deciding whether or not to accept the integer solution once integer estimates of the ambiguities have been computed.
 
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Metadaten
Titel
GNSS Data Processing
verfasst von
Clement A. Ogaja
Copyright-Jahr
2022
Buch
Introduction to GNSS Geodesy

Print ISBN: 978-3-030-91820-0

Electronic ISBN: 978-3-030-91821-7

Copyright-Jahr: 2022

DOI
https://doi.org/10.1007/978-3-030-91821-7_7

    Version: 0.2067.0