NeQuick-G and Android Devices: A Compromise between Computational Burden and Accuracy

Gioia, Ciro; Borio, Daniele

doi:10.3390/s20205908

Cited by 4 publications

(3 citation statements)

References 24 publications

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“…107.20.22 414037, characterised by dual-frequency (E1/L1 + E5/L5) satellite observation capabilities. The quality of GNSS positioning using smartphones is highly dependent on the antenna design these devices are equipped with [26,[41][42][43]. Smartphone GNSS antennas are characterised by low gain and low multipath resistance [44,45].…”

Section: Resultsmentioning

confidence: 99%

Optimal Global Positioning System/European Geostationary Navigation Overlay Service Positioning Model Using Smartphone

Grunwald,

Ciećko,

Krasuski

et al. 2024

Applied Sciences

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The potential for the use of smartphones in GNSSs (Global Navigation Satellite Systems) positioning has increased in recent years due to the emergence of the ability of Android-based devices used to process raw satellite data. This paper presents the results of a study on the use of SBAS data transmitted by the EGNOS (European Geostationary Navigation Overlay Service) system in GNSS positioning using a Xiaomi Mi8 smartphone. Raw data recorded at a fixed point were used in post-processing calculations in GPS/EGNOS positioning by determining the coordinates for every second of a session of about 5 h and comparing the results to those obtained with a Septentrio AsteRx2 GNSS receiver operating at the same time at a distance of about 3 m. The calculations were performed using the assumptions of the GNSS/SBAS positioning algorithms, which were modified with carrier-phase smoothed code observations and the content of the corrections transmitted by EGNOS.

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Section: Resultsmentioning

confidence: 99%

Optimal Global Positioning System/European Geostationary Navigation Overlay Service Positioning Model Using Smartphone

Grunwald,

Ciećko,

Krasuski

et al. 2024

Applied Sciences

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“…Although memory resources are no longer a concern in modern desktop computers, it can be a limiting factor in some mass market segments such as embedded devices (i.e., smartphones or other handheld devices). In this regard, some initiatives have been already proposed to assess the compromise between the computational burden of NeQuick-G and its accuracy in smartphones [31].…”

Section: Analysis Of the Memory Consumptionmentioning

confidence: 99%

Galileo Ionospheric Correction Algorithm Integration into the Open-Source GNSS Laboratory Tool Suite (gLAB)

et al. 2021

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Users of the global navigation satellite system (GNSS) operating with a single-frequency receiver must use an ionospheric correction algorithm (ICA) to account for the delay introduced on radio waves by the upper atmosphere. Galileo, the European GNSS, uses an ICA named NeQuick-G. In an effort to foster the adoption of NeQuick-G by final users, two implementations in C language have been recently made available to the public by the European Space Agency (ESA) and the Joint Research Centre (JRC) of the European Commission (EC), respectively. The aim of the present contribution is to compare the slant total electron content (STEC) predictions of the two aforementioned implementations of NeQuick-G. For this purpose, we have used actual multi-constellation and multi-frequency data for several hundreds of stations distributed worldwide belonging to the Multi GNSS Experiment (MGEX) network of the International GNSS Service (IGS). For each first day of the month during year 2019, the STECs of the two NeQuick-G versions were compared in terms of accuracy, consistency, availability, and execution time. Our study concludes that both implementations of NeQuick-G perform equivalently. Indeed, in over 99.998% of the 2125 million STECs computed, the output is exactly coincident. In contrast, 0.002% of the whole set of STECs for those rays are tangent to the Earth, the behavior of both implementations differs. We confirmed the discrepancy by processing radio-occultation actual measurements from a COSMIC-2 low Earth orbit satellite. We selected the JRC version of the Galileo ICA to be integrated into the GNSS LABoratory (gLAB) tool suite, because its open license and its processing speed (it is 13.88% faster than the ESA version). NeQuick-G outperforms the GPS ICA in STEC residuals up to 12.15 TECUs (percentile 96.23th) and in the 3D position errors, up to 5.76 m (percentile 99.18th) for code-pseudorange positioning.

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“…The American global positioning system (GPS) and the European Galileo navigation satellite system (Galileo) adopt the Klobuchar model and improved NeQuick-G model, respectively [1,5,6]. An approach was proposed to reduce the computational load of the NeQuick-G algorithm by increasing the update interval of the ionospheric corrections [7]. China's BeiDou navigation satellite system (BDS) adopts both the Klobuchar model and the BeiDou global ionospheric delay correction model (BDGIM) [2,6,8].…”

Section: Introductionmentioning

confidence: 99%

Analysis of the BDGIM Performance in BDS Single Point Positioning

Wang

Yin

et al. 2021

Remote Sensing

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The broadcast ionospheric model is mainly used to correct the ionospheric delay error for single-frequency users. Since the BeiDou global ionospheric delay correction model (BDGIM) is a novel broadcast ionospheric model for BDS-3, its performance was analyzed through single point positioning (SPP) in this study. Twenty-two stations simultaneously receiving B1C, B2a, B1I and B3I signals were selected from the International GNSS Service (IGS) and the International GNSS Monitoring and Assessment System (iGMAS) tracking networks for the SPP experiments. The differential code bias (DCB) parameters were used to correct the hardware delays in the signals of B1C and B2a. The results showed that the BDGIM performs the best in high-latitude areas, and can effectively improve the positioning accuracy compared with the Klobuchar model. The average 3D positioning accuracy of the four civil signals can reach 3.58 m in high-latitude areas. The positioning accuracies with the BDGIM in the northern hemisphere are better than those in the southern hemisphere, and the global average 3D positioning accuracy of the four civil signals is 4.60 m. The performance of the BDGIM also shows some seasonal differences. The BDGIM performs better than the Klobuchar model on the days of spring equinox and winter solstice, while the opposite is true on the days of summer solstice and autumn equinox. On the day of winter solstice, the average 3D accuracies with the BDGIM on the signals of B1C, B2a, B1I and B3I are 4.13 m, 5.32 m, 4.40 m and 4.49 m, respectively. Although the SPP accuracies are to some extent affected by the geomagnetic storm, the BDGIM generally performs better and are more resistant to the geomagnetic storm than the Klobuchar model.

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NeQuick-G and Android Devices: A Compromise between Computational Burden and Accuracy

Cited by 4 publications

References 24 publications

Optimal Global Positioning System/European Geostationary Navigation Overlay Service Positioning Model Using Smartphone

Optimal Global Positioning System/European Geostationary Navigation Overlay Service Positioning Model Using Smartphone

Galileo Ionospheric Correction Algorithm Integration into the Open-Source GNSS Laboratory Tool Suite (gLAB)

Analysis of the BDGIM Performance in BDS Single Point Positioning

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