FLAMINGO - Fulfilling Enhanced Location Accuracy in the Mass-market through Initial Galileo Services

Roberts, William; Critchley-Marrows, Joshua; Fortunato, Marco; Ivanovici, Maria; Callewaert, K.; Tavares, T.; Arzel, Laurent; Pomies, Axelle

doi:10.33012/2018.15931

Cited by 3 publications

(2 citation statements)

References 3 publications

(4 reference statements)

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“…The NSL's FLAMINGO (Nottingham Scientific Limited's fulfilling enhanced location accuracy in the massmarket through Initial Galileo Services) team investigated the PPP and RTK performance of the dual-frequency Xiaomi Mi8 smartphone (Fortunato et al, 2019a;Roberts et al, 2018). The results confirmed that the carrier-phase observations from the Xiaomi Mi8 were not affected by the duty cycling and employing the L5/E5a observations could improve the positioning accuracy (Fortunato et al, 2019a;Roberts et al, 2018). Robustelli et al (2019) assessed the performance of a Xiaomi Mi8 smartphone in terms of the pseudorange multipath and noise compared with a geodetic receiver using the multipath linear combination.…”

Section: Absolute Positioningmentioning

confidence: 99%

GNSS smartphones positioning: advances, challenges, opportunities, and future perspectives

2021

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Starting from 2016, the raw Global Navigation Satellite System (GNSS) measurements can be extracted from the Android Nougat (or later) operating systems. Since then, GNSS smartphone positioning has been given much attention. A high number of related publications indicates the importance of the research in this field, as it has been doing in recent years. Due to the cost-effectiveness of the GNSS smartphones, they can be employed in a wide variety of applications such as cadastral surveys, mapping surveying applications, vehicle and pedestrian navigation and etc. However, there are still some challenges regarding the noisy smartphone GNSS observations, the environment effect and smartphone holding modes and the algorithm development part which restrict the users to achieve high-precision smartphone positioning. In this review paper, we overview the research works carried out in this field with a focus on the following aspects: first, to provide a review of fundamental work on raw smartphone observations and quality assessment of GNSS observations from major smart devices including Google Pixel 4, Google Pixel 5, Xiaomi Mi 8 and Samsung Ultra S20 in terms of their signal strengths and carrier-phase continuities, second, to describe the current state of smartphone positioning research field until most recently in 2021 and, last, to summarize major challenges and opportunities in this filed. Finally, the paper is concluded with some remarks as well as future research perspectives.

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Section: Absolute Positioningmentioning

confidence: 99%

GNSS smartphones positioning: advances, challenges, opportunities, and future perspectives

2021

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“…Since then, researchers have embarked on comprehensive investigations into the positioning performance of dual-frequency GNSS smartphones. In studies [16,17], it was revealed that incorporating L5/E5a measurements can significantly enhance positioning accuracy. Robustelli et al [18] conducted an assessment of code measurements, considering pseudo-range noise and multi-path errors.…”

Section: Introductionmentioning

confidence: 99%

Performance of Smartphone BDS-3/GPS/Galileo Multi-Frequency Ionosphere-Free Precise Code Positioning

Wang,

Hu,

Wang

et al. 2023

Remote Sensing

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The continuously improving performance of mass-market global navigation satellite system (GNSS) chipsets is enabling the prospect of high-precision GNSS positioning for smartphones. Nevertheless, a substantial portion of Android smartphones lack the capability to access raw carrier phase observations. Therefore, this paper introduces a precise code positioning (PCP) method, which utilizes Doppler-smoothed pseudo-range and inter-satellite single-difference methods. For the first time, the results of a quality investigation involving BDS-3 B1C/B2a/B1I, GPS L1/L5, and Galileo E1/E5a observed using smartphones are presented. The results indicated that Xiaomi 11 Lite (Mi11) exhibited a superior satellite data decoding performance compared to Huawei P40 (HP40), but it lagged behind HP40 in terms of satellite tracking. In the static open-sky scenario, the carrier-to-noise ratio (CNR) values were mostly above 25 dB-Hz. Additionally, for B1C/B1I/L1/E1, they were approximately 8 dB-Hz higher than those for B2a/L5/E5a. Second, various PCP models were developed to address ionospheric delay. These models include the IF-P models, which combine traditional dual-frequency IF pseudo-ranges with single-frequency ionosphere-corrected pseudo-ranges using precise ionospheric products, and IFUC models, which rely solely on single-frequency ionosphere-corrected pseudo-ranges. Finally, static and dynamic tests were conducted using datasets collected from various real-world scenarios. The static tests demonstrated that the PCP models could achieve sub-meter-level accuracy in the east (E) and north (N) directions, while achieving meter-level accuracy in the upward (U) direction. Numerically, the root mean square error (RMSE) improvement percentages were approximately 93.8%, 75%, and 82.8% for HP40 in the E, N, and U directions, respectively, in both open-sky and complex scenarios compared to single-point positioning (SPP). In the open-sky scenario, Mi11 showed an average increase of about 85.6%, 87%, and 16% in the E, N, and U directions, respectively, compared to SPP. In complex scenarios, Mi11 exhibited an average increase of roughly 68%, 75.9%, and 90% in the E, N, and U directions, respectively, compared to SPP. Dynamic tests showed that the PCP models only provided an improvement of approximately 10% in the horizontal plane or U direction compared to SPP. The triple-frequency IFUC (IFUC123) model outperforms others due to its lower noise and utilization of multi-frequency pseudo-ranges. The PCP models can enhance smartphone positioning accuracy.

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Enabling High Accuracy Dynamic Applications in Urban Environments Using PPP and RTK on Android Multi-Frequency and Multi-GNSS Smartphones

Fortunato

Critchley-Marrows

Siutkowska

et al. 2019

2019 European Navigation Conference (ENC)

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FLAMINGO - Fulfilling Enhanced Location Accuracy in the Mass-market through Initial Galileo Services

Cited by 3 publications

References 3 publications

GNSS smartphones positioning: advances, challenges, opportunities, and future perspectives

GNSS smartphones positioning: advances, challenges, opportunities, and future perspectives

Performance of Smartphone BDS-3/GPS/Galileo Multi-Frequency Ionosphere-Free Precise Code Positioning

Enabling High Accuracy Dynamic Applications in Urban Environments Using PPP and RTK on Android Multi-Frequency and Multi-GNSS Smartphones

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