Abstract
Starting with Android 7.0, Google has opened APIs for smartphone users to obtain raw GNSS data, including pseudorange, carrier, and Doppler measurements. At present, the research of Android devices positioning based on original observations mostly focuses on GPS/GLONASS/Galielo, and there is few in-depth evaluation work on the data observation quality and positioning performance of BDS. In general, compared with traditional survey-grade GNSS receivers, observations of Android devices are not only affected by high measurement noise and multipath errors, but also by abnormalities such as duty cycle and phase error accumulation. Therefore, to improve the positioning accuracy of Android smartphones, the quality of the measured data and its influencing factors must be analyzed first. This article uses the Hisilicon Hi1103 positioning chip mounted on the HUAWEI Nova5 to evaluate the data quality and positioning performance of the BDS observation in a comprehensive perspective. The carrier-to-noise ratio, duty cycle, and measurement noise of different types of BDS satellites are evaluated and statistically analyzed. In static positioning performance assessment, the accuracy of SPP and PPP using BDS is evaluated using the positioning results of the measurement receiver. While in dynamic positioning performance assessment, because the accuracy of ordinary pseudo-range single point positioning is low, the author use an improved sliding window HATCH filter algorithm, which greatly improves the accuracy of dynamic positioning.
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References
Malkos, S.: Google to provide raw GNSS measurements. GPS World 27(7), 36 (2016)
Specht, C., Dabrowski, P.S., Pawelski, J., et al.: Comparative analysis of positioning accuracy of GNSS receivers of Samsung Galaxy smartphones in marine dynamic measurements. Adv. Space Res. 63(9), 3018–3028 (2019)
Yang, Y., Xu, Y., Li, J.: Progress and performance evaluation of BeiDou global navigation satellite system: data analysis based on BDS-3 demonstration system. Sci. China Earth Sci. 61(5), 614–624 (2018)
European GNSS Agency: Using GNSS raw measurements on Android devices. Publications Office of the European Union, Luxembourg (2017)
Siddakatte, R., Broumandan, A., Lachapelle, G.: Performance evaluation of smartphone GNSS measurements with different antenna configurations. In: Proceedings of the Royal Institute of Navigation International Navigation Conference, Brighton, 27–30 November 2017 (2017)
Håkansson, M.: Characterization of GNSS observations from a Nexus 9 Android tablet. GPS Solut. 23(1) (2019)
Zhang, X., Tao, X., Zhu, F.: Quality assessment of GNSS observations from an Android N smartphone and positioning performance analysis using time-differenced filtering approach. GPS Solut. 22(3) (2018)
Zhang, K., Jiao, F., Li, J.: The assessment of GNSS measurements from Android Smartphones. In: CSNC (2018)
Elmezayen, A., El-Rabbany, A.: Precise point positioning using world first dual-frequency GPS/GALILEO smartphone. Sensors 19, 2593 (2019)
Robustelli, U., Baiocchi, V., Pugliano, G.: Assessment of dual frequency GNSS observations from a Xiaomi Mi 8 Android smartphone and positioning performance analysis. Electronics 8, 91 (2019)
Chen, B., Gao, C., Liu, Y., Sun, P.: Real-time precise point positioning with a Xiaomi MI 8 Android smartphone. Sensors 19, 2835 (2019)
Szot1, T., Specht, C., Specht, M., Dabrowski, P.S.: Comparative analysis of positioning accuracy of Samsung Galaxy smartphones in stationary measurements. PloS One (2019)
Realini, E., Caldera, S., Pertusini, L., et al.: Precise GNSS positioning using smart devices. Sensors 17(10), 2434–2449 (2017)
Aggrey, J., Bisnath, S., Naciri, N., Shinghal, G., Yang, S.: Use of PPP processing for next-generation smartphone GNSS chips: key benefits and challenges. In: 32nd International Technical Meeting of the Satellite Division of the Institute of Navigation (ION GNSS + 2019), Miami, Florida, 16–20 September 2019 (2019)
Geng, J., Jiang, E., Li, G., Xin, S., Wei, N.: An improved Hatch filter algorithm towards sub-meter positioning using only Android raw GNSS measurements without external augmentation corrections. Remote Sens. 11, 1679 (2019)
Li, G., Geng, J.: Characteristics of raw multi-GNSS measurement error from Google Android smart devices. GPS Solut. 24(3) (2019)
Acknowledgments
This study is funded by National Science Foundation of China (41874041, 41604024).
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Zhang, Q., Jia, X., Zhu, Y., Chen, Z., Rong, F. (2020). Evaluation of BDS Navigation Signals and Positioning Performance on Android Devices. In: Sun, J., Yang, C., Xie, J. (eds) China Satellite Navigation Conference (CSNC) 2020 Proceedings: Volume III. CSNC 2020. Lecture Notes in Electrical Engineering, vol 652. Springer, Singapore. https://doi.org/10.1007/978-981-15-3715-8_7
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DOI: https://doi.org/10.1007/978-981-15-3715-8_7
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