GNSS Precise Point Positioning with Android Smartphones and Comparison with High Performance Receivers

Gratton, Paul

doi:10.1109/icsidp47821.2019.9173062

Cited by 24 publications

(16 citation statements)

References 5 publications

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“…Moreover, the positioning performance of smartphones is also limited by the poor multipath suppression capability. Lachapelle et al [ 18 ] conducted the PPP experiment using the Huawei Mate20X in low and high multipath environments, even in the static PPP, the RMS of vertical errors in a high multipath environment is over ten times as in a low multipath environment within 60 min. In addition, the positioning accuracy of smartphones with an external high-grade antenna under high multipath can reach that of a smartphone with its own antenna under low multipath.…”

Section: Introductionmentioning

confidence: 99%

Study on Multi-GNSS Precise Point Positioning Performance with Adverse Effects of Satellite Signals on Android Smartphone

Zhu

Xia

et al. 2020

Sensors

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The emergence of dual frequency global navigation satellite system (GNSS) chip actively promotes the progress of precise point positioning (PPP) technology in Android smartphones. However, some characteristics of GNSS signals on current smartphones still adversely affect the positioning accuracy of multi-GNSS PPP. In order to reduce the adverse effects on positioning, this paper takes Huawei Mate30 as the experimental object and presents the analysis of multi-GNSS observations from the aspects of carrier-to-noise ratio, cycle slip, gradual accumulation of phase error, and pseudorange residual. Accordingly, we establish a multi-GNSS PPP mathematical model that is more suitable for GNSS observations from a smartphone. The stochastic model is composed of GNSS step function variances depending on carrier-to-noise ratio, and the robust Kalman filter is applied to parameter estimation. The multi-GNSS experimental results show that the proposed PPP method can significantly reduce the effect of poor satellite signal quality on positioning accuracy. Compared with the conventional PPP model, the root mean square (RMS) of GPS/BeiDou (BDS)/GLONASS static PPP horizontal and vertical errors in the initial 10 min decreased by 23.71% and 62.06%, respectively, and the horizontal positioning accuracy reached 10 cm within 100 min. Meanwhile, the kinematic PPP maximum three-dimensional positioning error of GPS/BDS/GLONASS decreased from 16.543 to 10.317 m.

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Section: Introductionmentioning

confidence: 99%

Study on Multi-GNSS Precise Point Positioning Performance with Adverse Effects of Satellite Signals on Android Smartphone

Zhu

Xia

et al. 2020

Sensors

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“…The advantages of this approach are that ZTD can be estimated in real time [41] and that GPS data are available under all weather conditions. Furthermore, recently data collected with smartphones GPS receivers have been processed using PPP [42,43]. Thus, existing GPS infrastructure can be exploited to monitor the UHI with high precision.…”

Section: Discussionmentioning

confidence: 99%

Determination of Air Urban Heat Island Parameters with High-Precision GPS Data

et al. 2022

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The urban heat island (UHI) effect can contribute to extreme heat exposure. This can be detrimental to human health. In this paper, we propose a method to estimate air temperature to evaluate the spatial distribution and to monitor the intensity of the air urban heat island (AUHI) from existing GPS infrastructure. The proposed algorithm is based on the relationship between the refractivity of the troposphere and environmental variables, as well as the relationships between the zenith tropospheric delay (ZTD), a by-product of the precise point positioning technique, and the refractivity of the troposphere. The advantage of GPS data is its high temporal resolution and the availability of embedded GPS receivers. In this paper, GPS-derived ZTD data from stations in the Hong Kong Special Administrative Region (HKSAR) of China and Tokyo in Japan are processed to estimate the hourly AUHI intensity. The results derived from this technique are validated using meteorological data in the same cities. Mean absolute error values of 0.79 °C in Hong Kong and 0.22 °C in Tokyo are found from data from the summer. Moreover, an overall accuracy of 0.51 °C is found.

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“…An interesting final observation that applies to the kinematic profiles described in the paper is that, if one were interested only in the VMF1 model to obtain a good approximation of the ZWD profile, the coordinates needed to generate this profile could be provided by Android phones capable of collecting single-frequency raw GNSS measurements. The accuracy of such coordinates varies between sub-metre in open roads to a few metres in harsh signal reception [ 25 ], which is sufficient to derive a VMF1 profile.…”

Section: Discussionmentioning

confidence: 99%

Kinematic Zenith Tropospheric Delay Estimation with GNSS PPP in Mountainous Areas

Gratton

Banville

O’Keefe

2021

Sensors

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The use of global navigation satellite systems (GNSS) precise point positioning (PPP) to estimate zenith tropospheric delay (ZTD) profiles in kinematic vehicular mode in mountainous areas is investigated. Car-mounted multi-constellation GNSS receivers are employed. The Natural Resources Canada Canadian Spatial Reference System PPP (CSRS-PPP) online service that currently processes dual-frequency global positioning system (GPS) and Global’naya Navigatsionnaya Sputnikovaya Sistema (GLONASS) measurements and is now capable of GPS integer ambiguity resolution is used. An offline version that can process the above and Galileo measurements simultaneously, including Galileo integer ambiguity resolution is also tested to evaluate the advantage of three constellations. A multi-day static data set observed under open sky is first tested to determine performance under ideal conditions. Two long road profile tests conducted in kinematic mode are then analyzed to assess the capability of the approach. The challenges of ZTD kinematic profiling are numerous, namely shorter data sets, signal shading due to topography and forests of conifers along roads, and frequent losses of phase lock requiring numerous but not always successful integer ambiguity re-initialization. ZTD profiles are therefore often only available with float ambiguities, reducing system observability. Occasional total interruption of measurement availability results in profile discontinuities. CSRS-PPP outputs separately the zenith hydrostatic or dry delay (ZHD) and water vapour content or zenith wet delay (ZWD). The two delays are analyzed separately, with emphasis on the more unpredictable and highly variable ZWD, especially in mountainous areas. The estimated delays are compared with the Vienna Mapping Function 1 (VMF1), which proves to be highly effective to model the large-scale profile variations in the Canadian Rockies, the main contribution of GNSS PPP being the estimation of higher frequency ZWD components. Of the many conclusions drawn from the field experiments, it is estimated that kinematic profiles are generally determined with accuracy of 10 to 20 mm, depending on the signal harshness of the environment.

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GNSS Precise Point Positioning with Android Smartphones and Comparison with High Performance Receivers

Cited by 24 publications

References 5 publications

Study on Multi-GNSS Precise Point Positioning Performance with Adverse Effects of Satellite Signals on Android Smartphone

Study on Multi-GNSS Precise Point Positioning Performance with Adverse Effects of Satellite Signals on Android Smartphone

Determination of Air Urban Heat Island Parameters with High-Precision GPS Data

Kinematic Zenith Tropospheric Delay Estimation with GNSS PPP in Mountainous Areas

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