Automated Processing of Low-Cost GNSS Receiver Data

Banville, Simon; Ghoddousi‐Fard, Reza; Gratton, Paul

doi:10.33012/2019.16972

Cited by 39 publications

(19 citation statements)

References 20 publications

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“…However, according to the experiments of GNSS signal characteristics of smartphones, it is found that the C/N 0 -dependent weighting stochastic model is more suitable for GNSS positioning using Android smartphones [ 8 , 17 ]. Banville et al [ 24 ] also indicated that carrier-to-noise weighting should replace elevation-dependent weighting, and proposed a measurement weighting based on carrier-to-noise ratio values suitable for processing of low-cost GNSS receiver data. Ward [ 25 ] derived a formula that expresses the phase variance

as a function of the measured C/N 0 values:

and

where

is the carrier tracking loop bandwidth (Hz), and the effect of the oscillator stability on the phase variances is considered negligible.…”

Section: Multi-gnss Ppp Mathematical Modelmentioning

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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as a function of the measured C/N 0 values:

and

where

is the carrier tracking loop bandwidth (Hz), and the effect of the oscillator stability on the phase variances is considered negligible.…”

Section: Multi-gnss Ppp Mathematical Modelmentioning

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

View full text Add to dashboard Cite

show abstract

“…To our knowledge, no published information concerning the Mate20X antenna type and location is available. However, following what was reported by other authors (Banville et al 2019, Lachapelle and, the Mate20X is equipped with an omnidirectional linearly polarized antenna. Different factors might contribute to the larger PCV variation of the L5 differences.…”

Section: Analysis Of Smartphone's Pcvmentioning

confidence: 88%

Impact of robot antenna calibration on dual-frequency smartphone-based high-accuracy positioning: a case study using the Huawei Mate20X

Darugna¹,

Wübbena²,

Wübbena³

et al. 2020

GPS Solut

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The access to Android-based Global Navigation Satellite Systems (GNSS) raw measurements has become a strong motivation to investigate the feasibility of smartphone-based positioning. Since the beginning of this research, the smartphone GNSS antenna has been recognized as one of the main limitations. Besides multipath (MP), the radiation pattern of the antenna is the main site-dependent error source of GNSS observations. An absolute antenna calibration has been performed for the dual-frequency Huawei Mate20X. Antenna phase center offset (PCO) and variations (PCV) have been estimated to correct for antenna impact on the L1 and L5 phase observations. Accordingly, we show the relevance of considering the individual PCO and PCV for the two frequencies. The PCV patterns indicate absolute values up to 2 cm and 4 cm for L1 and L5, respectively. The impact of antenna corrections has been assessed in different multipath environments using a high-accuracy positioning algorithm employing an undifferenced observation model and applying ambiguity resolution. Successful ambiguity resolution is shown for a smartphone placed in a low multipath environment on the ground of a soccer field. For a rooftop open-sky test case with large multipath, ambiguity resolution was successful in 19 out of 35 data sets. Overall, the antenna calibration is demonstrated being an asset for smartphone-based positioning with ambiguity resolution, showing cm-level 2D root mean square error (RMSE).

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“…This option allows shutting down the duty cycling, which increases the data availability and continuity of the phase measurements. Although this feature is not available on the Mate20 X, phase measurements were continuously collected, and the duty cycle was therefore assumed to be o↵ during the GNSS observation period (Banville et al, 2019). Table 1 summarises all the data used within this paper.…”

Section: Setup and Data Collectionmentioning

confidence: 99%

“…These investigations showed that low C/N0 values even appear for high elevation satellites. Therefore, to better account for the code noise (Banville et al, 2019), they suggested using C/N0 based weighting schemes instead of the often used elevation weighting for positioning when using smartphone measurements (X. .…”

Section: Introductionmentioning

confidence: 99%

“…They evaluate the impact of initial phase biases on ambiguity resolution considering the Mi8 and Huawei Mate20 X devices, showing the use of an external patch antenna as the solution for semi-professional works. A single-frequency PPP solution, using the Huawei Mate20 X (Mate20 X), was investigated in Banville et al (2019), who found instability in the positionsolution caused by the multipath. The problem was tackled using constraints from global ionospheric maps, resulting in reduced accuracy of the positioning and showing the need for network-based precise slant Total Electron Content (sTEC) corrections.…”

Section: Introductionmentioning

confidence: 99%

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Quality analysis of dual-frequency smartphone-based ionospheric TEC measurements: what can be achieved?

Bruno

Darugna²,

Bolmgren

et al. 2020

Annals of Geophysics

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The growing quality of smartphone-based Global Navigation Satellite Systems (GNSS) chipsets opens a new frontier for scientific research in positioning, navigation and timing ap- plications. The portability and affordability of these instruments could enhance the current GNSS receiver global network for atmospheric monitoring purposes. However, the quality of the measurements gathered from smartphones have not yet been fully assessed. In this paper, an analysis of the quality of smartphone-based Total Electron Content (TEC) mea- surements is performed. The primary focus of this work is to provide a general analysis on the potential of using smartphone observations for ionospheric sciences. Dual-frequency phase observations are used to measure the relative TEC. For this experiment, GPS L1/L5 and Galileo E1/E5a observations acquired with the Xiaomi Mi8 and Huawei Mate20 X smartphones were considered. Both devices are equipped with the Broadcom BCM47755 chipset, which enables GNSS dual-frequency measurements. More than 100 hours of phase observations at mid-latitude during a low solar activity period were gathered. Three differ- ent setup configurations were defined to assess the effects multipath or signal strength may have in the quality of the phase observations. In addition, to detect and discard unrealistic fluctuating phase observations, a quality-check was performed. In the results, good agree- ment between the slant TEC (sTEC) measurements from the smartphone and the sTEC obtained from a co-located geodetic receiver is presented. Furthermore, the amount and quality of observations discarded by the quality-check are reported, which emphasises the use of the signal strength to indicate the quality of phase observations. The results indicate that the C/N0 and multipath are important —when gathering the data from a geodetic antenna, around 80% of the collected data passed a quality threshold. However, collecting data with the addition of an attenuator, or directly from the smartphone antenna, reduced the valid data to below 50%. However, given the ease of use of a smartphone for data collection, even at 50% of data being usable, this shows potential as a useful course of TEC for ionospheric observations.

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Automated Processing of Low-Cost GNSS Receiver Data

Cited by 39 publications

References 20 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

Impact of robot antenna calibration on dual-frequency smartphone-based high-accuracy positioning: a case study using the Huawei Mate20X

Quality analysis of dual-frequency smartphone-based ionospheric TEC measurements: what can be achieved?

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