Continuous Reproducibility in GNSS Signal Processing
Author(s) -
Carles Fernandez-Prades,
Jordi Vila-Valls,
Javier Arribas,
Antonio Ramos
Publication year - 2018
Publication title -
ieee access
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.587
H-Index - 127
ISSN - 2169-3536
DOI - 10.1109/access.2018.2822835
Subject(s) - aerospace , bioengineering , communication, networking and broadcast technologies , components, circuits, devices and systems , computing and processing , engineered materials, dielectrics and plasmas , engineering profession , fields, waves and electromagnetics , general topics for engineers , geoscience , nuclear engineering , photonics and electrooptics , power, energy and industry applications , robotics and control systems , signal processing and analysis , transportation
This paper discusses the reproducibility of scientific experiments in which global navigation satellite system (GNSS) signals play a role. After analyzing the factors that impact the reproducibility of an experiment in the given context, this paper proposes a methodology that, leveraging on software containerization technologies and the best practices from professional software development, ensures the automated reproduction of scientific experiments involving GNSS data and software-defined GNSS receivers, including the generation of figures or tables of a research publication, while fostering scientific collaboration and contributing to mitigate the effects of software aging in mutating computer environments. In order to show a practical implementation of the proposed work flow, the authors propose a simple experiment based on a freely available open source software-defined receiver and the automation of its execution in a popular online platform.
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