Smartphone GNSS Performance in an Urban Scenario with RAIM Application

In an urban scenario, GNSS performance is strongly influenced by gross errors in the measurements, usually related to multipath and non-line-of-sight phenomena. The use of RAIM algorithms is a common approach to solve this issue. A significant amount of the existing GNSS receivers is currently mount...

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Main Authors: Antonio Angrisano, Salvatore Gaglione
Format: Article
Language:English
Published: MDPI AG 2022-01-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/22/3/786
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author Antonio Angrisano
Salvatore Gaglione
author_facet Antonio Angrisano
Salvatore Gaglione
author_sort Antonio Angrisano
collection DOAJ
description In an urban scenario, GNSS performance is strongly influenced by gross errors in the measurements, usually related to multipath and non-line-of-sight phenomena. The use of RAIM algorithms is a common approach to solve this issue. A significant amount of the existing GNSS receivers is currently mounted on smart devices, above all, smartphones. A typical drawback of these devices is the unavailability of raw measurements, which does not allow fully exploiting the GNSS potential; in particular, this feature limits the use of RAIM algorithms. Since 2016, for few smart devices, it has been finally possible to access GNSS raw measurements, allowing the implementation of specific algorithms and enabling new services. The Xiaomi Mi 8 is equipped with the Broadcom BCM47755 receiver, able to provide dual-frequency raw measurements from quad-constellation GPS, Glonass, Galileo, BeiDou. In this work, the performance in an urban area of the Xiaomi Mi8 GNSS was analyzed. An important issue of smartphone GNSS is related to the antenna, which is not able to protect from the multipath phenomenon; this issue has a large probability to emerge in hostile environments like urban areas. As a term of comparison, the high-sensitivity receiver NVS NV08C-CSM, connected to a patch antenna, was used. In particular, the considered receivers were placed in the same location, and their positions were estimated in single point positioning, applying a classical RAIM algorithm. An error analysis was carried out, and the obtained results demonstrated the effectiveness of RAIM when applied to Xiaomi Mi8 GNSS measurements.
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spelling doaj.art-6a45075d59c64719bf0bd0bda12b31aa2023-11-23T17:45:22ZengMDPI AGSensors1424-82202022-01-0122378610.3390/s22030786Smartphone GNSS Performance in an Urban Scenario with RAIM ApplicationAntonio Angrisano0Salvatore Gaglione1Department of Engineering, University of Messina, Contrada di Dio, Sant’Agata, 98166 Messina, ItalyDepartment of Science and Technology, University of Naples “Parthenope”, Centro Direzionale Isola C4, 80143 Naples, ItalyIn an urban scenario, GNSS performance is strongly influenced by gross errors in the measurements, usually related to multipath and non-line-of-sight phenomena. The use of RAIM algorithms is a common approach to solve this issue. A significant amount of the existing GNSS receivers is currently mounted on smart devices, above all, smartphones. A typical drawback of these devices is the unavailability of raw measurements, which does not allow fully exploiting the GNSS potential; in particular, this feature limits the use of RAIM algorithms. Since 2016, for few smart devices, it has been finally possible to access GNSS raw measurements, allowing the implementation of specific algorithms and enabling new services. The Xiaomi Mi 8 is equipped with the Broadcom BCM47755 receiver, able to provide dual-frequency raw measurements from quad-constellation GPS, Glonass, Galileo, BeiDou. In this work, the performance in an urban area of the Xiaomi Mi8 GNSS was analyzed. An important issue of smartphone GNSS is related to the antenna, which is not able to protect from the multipath phenomenon; this issue has a large probability to emerge in hostile environments like urban areas. As a term of comparison, the high-sensitivity receiver NVS NV08C-CSM, connected to a patch antenna, was used. In particular, the considered receivers were placed in the same location, and their positions were estimated in single point positioning, applying a classical RAIM algorithm. An error analysis was carried out, and the obtained results demonstrated the effectiveness of RAIM when applied to Xiaomi Mi8 GNSS measurements.https://www.mdpi.com/1424-8220/22/3/786smartphone GNSSRAIMmass-market devicesurban scenario
spellingShingle Antonio Angrisano
Salvatore Gaglione
Smartphone GNSS Performance in an Urban Scenario with RAIM Application
Sensors
smartphone GNSS
RAIM
mass-market devices
urban scenario
title Smartphone GNSS Performance in an Urban Scenario with RAIM Application
title_full Smartphone GNSS Performance in an Urban Scenario with RAIM Application
title_fullStr Smartphone GNSS Performance in an Urban Scenario with RAIM Application
title_full_unstemmed Smartphone GNSS Performance in an Urban Scenario with RAIM Application
title_short Smartphone GNSS Performance in an Urban Scenario with RAIM Application
title_sort smartphone gnss performance in an urban scenario with raim application
topic smartphone GNSS
RAIM
mass-market devices
urban scenario
url https://www.mdpi.com/1424-8220/22/3/786
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