SWS Academic Research eLibraryEarth & Planetary Sciences

Scholarly record

DECODING OF GPS DATA FOR SINGLE POINT POSITIONING COMPUTATION BY USING PYTHON PROGRAMMING LANGUAGE

Bartlomiej Oszczak, Jedrzej Matuszak, Janusz Cwiklak

First published: 2017-06-20https://doi.org/10.5593/sgem2017/22/s09.024View metrics

Abstract

This paper sheet on пїЅDecoding GPS data for single point positioning computation by using Python programming languageпїЅ shown the program to compute receiver coordinates with use RINEX navigation and data files. In the program it is used single point positioning method to compute coordinates, and the program is coded in Python programming language. Sheet includes a part of the source code and block schemes, which described operation of the program. The comparison of the results of the approximate coordinates shows accuracy of the value: 600-700m. So poor accuracy results the fact, that the program does not taking into accounts any GPS errors.

Publication Impact Profile

PlumX
  • Citations
  • Scopus - Citation Indexes: 3
  • Captures
  • Mendeley - Readers: 5
PLUMX see details

Publication details

Title
DECODING OF GPS DATA FOR SINGLE POINT POSITIONING COMPUTATION BY USING PYTHON PROGRAMMING LANGUAGE
Authors
Bartlomiej Oszczak, Jedrzej Matuszak, Janusz Cwiklak
Proceedings
SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings; 17th International Multidisciplinary Scientific GeoConference SGEM2017, Informatics, Geoinformatics and Remote Sensing
Publisher
STEF92 Technology
Year
2017
Pages
193-202
SWS Citekey
Oszczak20179193202
ISSN
1314-2704
ISBN
978-619-7408-02-7
Language
en
Publication type
Conference Paper
Keywords
GNSSpositioning algorithm
References0
0references registered for this publication

Structured references will appear here after the reference import pass. The count is preserved now so the scholarly record is not incomplete.

View or Download full articleAccess options
Full paper accessChoose SWS login, librarian support, or instant article download.

SWS access login

Login as SWS Scientific Committee

Authors and approved SWS contributors will read and export their own linked papers after identity matching by SWS profile, email and SGEM GlobalID.

For librarian assistance: [email protected]

Purchase Instant Access

48-hour online accessComing soon
Online-only accessComing soon
Download the full article in PDF formatEUR 35
  • Article can be downloaded after successful payment.
  • Article may be used according to SWS library access terms.
  • Article cannot be redistributed.
Get full paper

Back to publication list