Continuous Reproducibility in GNSS Signal Processing
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...
| Autores: | , , , |
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| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2018 |
| País: | España |
| Institución: | Centre Tecnològic de Telecomunicacions de Catalunya (CTTC) |
| Repositorio: | r-CTTC. Repositorio Institucional Producción Científica del Centre Tecnològic de Telecomunicacions de Catalunya (CTTC) |
| OAI Identifier: | oai:cttc.fundanetsuite.com:p1646 |
| Acceso en línea: | https://cttc.fundanetsuite.com/Publicaciones/ProdCientif/PublicacionFrw.aspx?id=1646 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85045961267&doi=10.1109%2fACCESS.2018.2822835&partnerID=40&md5=78231af452ce5a661f025f541e3025e3 |
| Access Level: | acceso abierto |
| Palabra clave: | Communication satellites Digital radio Digital signal processing Global positioning system Open systems Radio navigation Software design Software radio Computer environments Global Navigation Satellite Systems GNSS receivers Online platforms Professional software Reproducibilities Scientific collaboration Scientific experiments Open source software |
| Sumario: | 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. © 2013 IEEE. |
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