The problem of GNSS positioning with measurements recorded using Android mobile devices

Skorupa, Bogdan

doi:10.35784/bud-arch.738

Cited by 9 publications

(6 citation statements)

References 14 publications

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“…Another GNSS absolute positioning mode is the precise point positioning technique (PPP). Different researchers are exploring the application of PPP in dual-frequency smartphones [8][9][10][11][12][13]. Carrier phase and pseudorange observations are needed to achieve centimeter-level accuracy.…”

Section: Introductionmentioning

confidence: 99%

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An Approach to Improving GNSS Positioning Accuracy Using Several GNSS Devices

2021

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Single point positioning (SPP) mode, related to pseudorange measurements, limits the level of accuracy to several meters in open sky and to several dozens of meters in urban canyons. This paper explores the effect of using a large number of SPP observations from low-cost global navigation system (GNSS) receivers, smartphones, and handheld GNSS units. Data segmentation and bootstrapping statistical methods were used to obtain the deviation, which can describe the accuracy of the large sample. The empirical test recording data showed that the error may achieve a sub-meter horizontal accuracy by the simple process of increasing the measurements of smartphones and handheld GNSS units. However, the drawback is the long period of time required. To reduce the satellite tracking time, a least squares solution network was applied over all the recorded data, assisted by the external geometric conditions. The final goal was to obtain the absolute positioning and associated deviations of one vertex from three or five GNSS receivers positioned on a network. The process was tested in three geodetic network examples. The results indicated that the enhanced SPP mode was able to improve its accuracy. Errors of several meters were reduced to values close to 50 cm in 25–37 min periods.

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Section: Introductionmentioning

confidence: 99%

“…Unfortunately, not all carrier phase observations have the property of integer ambiguities. The frequent signal interruptions and carrier phase cycle slips do not always help to solve carrier phase ambiguity [8][9][10][11][12]. Finally, only a few mobile phones can write phase observations including the Xiaomi MI8.…”

Section: Introductionmentioning

confidence: 99%

An Approach to Improving GNSS Positioning Accuracy Using Several GNSS Devices

2021

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“…The rapid development of algorithms and measuring techniques adapted to the specifics of mobile devices can be expected in the near future. This will most likely be due to the widespread availability of smartphones and great interest from scientific and research centres, as well as potential users of such solutions [105]. Access to code and phase observations offers new perspectives for the use of mobile devices in precise positioning.…”

Section: A Comparison Of the Methods For Altitude Determination: Prosmentioning

confidence: 99%

Determining Peak Altitude on Maps, Books and Cartographic Materials: Multidisciplinary Implications

et al. 2021

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Mountain peaks and their altitude have been of interest to researchers across disciplines. Measurement methods and techniques have changed and developed over the years, leading to more accurate measurements and, consequently, more accurate determination of peak altitudes. This research transpired due to the frequency of misstatements found in existing sources including books, maps, guidebooks and the Internet. Such inaccuracies have the potential to create controversy, especially among peak-baggers in pursuit of climbing the highest summits. The Polish Sudetes Mountains were selected for this study; 24 summits in the 14 mesoregions were measured. Measurements were obtained employing the global navigation satellite system (GNSS) and light detection and ranging (LiDAR), both modern and highly precise techniques. Moreover, to determine the accuracy of measurements, several of the summits were measured using a mobile phone as an additional method. We compare GNSS vs. LiDAR and verify the level of confidence of peak heights obtained by automatic methods from LiDAR data alone. The GNSS receiver results showed a discrepancy of approximately 10 m compared with other information sources examined. Findings indicate that the heights of peaks presented in cartographic materials are inaccurate, especially in lesser-known mountain ranges. Furthermore, among all the mountain ranges examined, the results demonstrated that five of the summits were no longer classed as the highest, potentially impacting tourist perceptions and subsequent visitation. Overall, due to the topographical relief characteristics and varying vegetation cover of mountains, we argue that the re-measuring procedure should comprise two steps: (1) develop high-resolution digital elevation models (DEMs) based on LiDAR; (2) assumed heights should be measured using precise GNSS receivers. Unfortunately, due to the time constraints and the prohibitive costs of GNSS, LiDAR continues to be the most common source of new altitude data.

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“…The second frequency (L5) data was not utilized in this study. Nevertheless, there is no information regarding the exact position of the antenna and its phase center calibration parameters (Skorupa, 2020). Thus, in all data collected, the smartphone was horizontally positioned on the support, as shown on the right of Figure 1.…”

Section: Methodsmentioning

confidence: 99%

Circle Fitting for Improved GNSS Positioning via Smartphones for Engineering Purposes

2021

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With access to the raw data collected by certain Android smartphones, it is possible to perform post-processing of the data. Thus, it is possible to employ certain satellite positioning methods that were previously restricted to geodetic receivers. Thanks to this and other innovations, such as the emergence of smartphones with modern GNSS sensors, a promising scenario is seen when employing these devices in engineering applications. Generally, in certain applications that require high accuracy, centimeter and millimeter order, geodetic receivers are used. However, these devices are expensive when compared to smartphones. In this research, the coordinates of a point were determined via a smartphone with a modern GNSS sensor, whose data were post-processed by the IBGE-PPP service, using the combination GPS+GLONASS and L1 frequency. Thus, using circle adjustment techniques based on least squares, it was possible to obtain horizontal accuracy of approximately 12 cm and 25 cm with a set of about 128-hour and 24-hour sessions respectively. The results obtained in this research suggest that the applied methodology can be used in certain applications in engineering, such as land surveying of rural properties.

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The problem of GNSS positioning with measurements recorded using Android mobile devices

Cited by 9 publications

References 14 publications

An Approach to Improving GNSS Positioning Accuracy Using Several GNSS Devices

An Approach to Improving GNSS Positioning Accuracy Using Several GNSS Devices

Determining Peak Altitude on Maps, Books and Cartographic Materials: Multidisciplinary Implications

Circle Fitting for Improved GNSS Positioning via Smartphones for Engineering Purposes

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