The possibility to manage pseudorange and carrier-phase measurements from the Global Navigation Satellite System (GNSS) chipset installed on smartphones and tablets with an Android operating system has changed the concept of precise positioning with portable devices. The goal of this work is to compare the positioning performances obtained with a smartphone and an external mass-market GNSS receiver both in real-time and post-processing. The attention is also focused not only on the accuracy and precision, but also on the possibility to determine the phase ambiguity values as integer (fixed positioning) that it is still a challenging aspect for mass-market devices: if the mass-market receiver provides good results under all points of view both for real-time and post-processing solutions (with precisions and accuracies of about 5 cm and 1 cm, respectively), the smartphone has a bad behaviour (order of magnitude of some meters) due to the noise of its measurements.

GNSS Positioning using Android Smartphone / Dabove, P.; Di Pietra, V.; Hatem, S.; Piras, M.. - STAMPA. - (2019), pp. 135-142. (Intervento presentato al convegno 5th International Conference on Geographical Information Systems Theory, Applications and Management, GISTAM 2019 tenutosi a Heraklion (Creete, Grece) nel 2019) [10.5220/0007764801350142].

GNSS Positioning using Android Smartphone

Dabove P.;Di Pietra V.;Hatem S.;Piras M.
2019

Abstract

The possibility to manage pseudorange and carrier-phase measurements from the Global Navigation Satellite System (GNSS) chipset installed on smartphones and tablets with an Android operating system has changed the concept of precise positioning with portable devices. The goal of this work is to compare the positioning performances obtained with a smartphone and an external mass-market GNSS receiver both in real-time and post-processing. The attention is also focused not only on the accuracy and precision, but also on the possibility to determine the phase ambiguity values as integer (fixed positioning) that it is still a challenging aspect for mass-market devices: if the mass-market receiver provides good results under all points of view both for real-time and post-processing solutions (with precisions and accuracies of about 5 cm and 1 cm, respectively), the smartphone has a bad behaviour (order of magnitude of some meters) due to the noise of its measurements.
2019
978-989-758-371-1
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/2738673
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