Raw GNSS Data Analysis for the LEDSOL Project - Preliminary Results and Way Ahead

Elena Simona Lohan, Tomkouani Kodom, Hafida Lebik, Antoine Grenier, Xiaolong Zhang, Oana Cramariuc, Irina Mocanu, Kathrin Bierwirth, Jari Nurmi

Tutkimustuotos: KonferenssiartikkeliScientificvertaisarvioitu

1 Sitaatiot (Scopus)
8 Lataukset (Pure)

Abstrakti

This is a work-in-progress paper describing the methodology to acquire and process raw GNSS data from Android devices, as well as preliminary results based on measurement campaigns conducted in Finland, Togo, and Algeria. The raw GNSS data acquisition is now supported by most Android smartphones (version 10 or newer) and such data can serve as very useful research data to develop low-cost positioning algorithms as well as to do statistical analysis under various scenarios, especially when working with imperfect, inaccurate, or incomplete pseudorange data. This paper presents the methodological steps to follow in the process of data collection and provides an initial analysis of the various error models in GNSS-based positioning. The challenges and potential solutions and future steps are also emphasized.

AlkuperäiskieliEnglanti
OtsikkoProceedings of Work-in-Progress in Hardware and Software for Location Computation (WIPHAL 2023)
KustantajaCEUR-WS
TilaJulkaistu - 2023
OKM-julkaisutyyppiA4 Artikkeli konferenssijulkaisussa
TapahtumaWork-in-Progress in Hardware and Software for Location Computation - Castellon, Espanja
Kesto: 6 kesäk. 20238 kesäk. 2023

Julkaisusarja

NimiCEUR Workshop Proceedings
KustantajaCEUR-WS
Vuosikerta3434
ISSN (elektroninen)1613-0073

Conference

ConferenceWork-in-Progress in Hardware and Software for Location Computation
Maa/AlueEspanja
KaupunkiCastellon
Ajanjakso6/06/238/06/23

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