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      Precise Point Positioning Using Dual-Frequency GNSS Observations on Smartphone

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          Abstract

          The update of the Android system and the emergence of the dual-frequency GNSS chips enable smartphones to acquire dual-frequency GNSS observations. In this paper, the GPS L1/L5 and Galileo E1/E5a dual-frequency PPP (precise point positioning) algorithm based on RTKLIB and GAMP was applied to analyze the positioning performance of the Xiaomi Mi 8 dual-frequency smartphone in static and kinematic modes. The results showed that in the static mode, the RMS position errors of the dual-frequency smartphone PPP solutions in the E, N, and U directions were 21.8 cm, 4.1 cm, and 11.0 cm, respectively, after convergence to 1 m within 102 min. The PPP of dual-frequency smartphone showed similar accuracy with geodetic receiver in single-frequency mode, while geodetic receiver in dual-frequency mode has higher accuracy. In the kinematic mode, the positioning track of the smartphone dual-frequency data had severe fluctuations, the positioning tracks derived from the smartphone and the geodetic receiver showed approximately difference of 3–5 m.

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          Most cited references30

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          Precise point positioning for the efficient and robust analysis of GPS data from large networks

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            Precise orbit determination for quad-constellation satellites at Wuhan University: strategy, result validation, and comparison

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              Quality assessment of GNSS observations from an Android N smartphone and positioning performance analysis using time-differenced filtering approach

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                Author and article information

                Journal
                Sensors (Basel)
                Sensors (Basel)
                sensors
                Sensors (Basel, Switzerland)
                MDPI
                1424-8220
                11 May 2019
                May 2019
                : 19
                : 9
                : 2189
                Affiliations
                College of Geo-Exploration Science and Technology, Jilin University, Changchun 130000, China; sunmf17@ 123456mails.jlu.edu.cn (M.S.); zhoucj16@ 123456mails.jlu.edu.cn (C.Z.); zhangpeng18@ 123456mails.jlu.edu.cn (P.Z.)
                Author notes
                [* ]Correspondence: wuqiong@ 123456jlu.edu.cn ; Tel.: +86-135-7866-0208
                Article
                sensors-19-02189
                10.3390/s19092189
                6539034
                31083567
                c96e3dd4-597d-4112-b38b-59e9254bb1e8
                © 2019 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 07 April 2019
                : 09 May 2019
                Categories
                Article

                Biomedical engineering
                gnss,android smartphone,precise point positioning
                Biomedical engineering
                gnss, android smartphone, precise point positioning

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