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http://dx.doi.org/10.11003/JPNT.2020.9.3.273

Measurement Level Experimental Test Result of GNSS/IMU Sensors in Commercial Smartphones  

Lee, Subin (Autonomous Navigation Lab. Department of Electrical Engineering and Computer, Inha University)
Ji, Gun-Hoon (Autonomous Navigation Lab. Department of Electrical Engineering and Computer, Inha University)
Won, Jong-Hoon (Autonomous Navigation Lab. Department of Electrical Engineering and Computer, Inha University)
Publication Information
Journal of Positioning, Navigation, and Timing / v.9, no.3, 2020 , pp. 273-284 More about this Journal
Abstract
The performance of Global Navigation Satellite System (GNSS) chipset and Inertial Measurement Unit (IMU) sensors embedded in smartphones for location-based services (LBS) is limited due to the economic reasons for their mass production. Therefore, it is necessary to efficiently process the output data of the smartphone's embedded sensors in order to derive the optimum navigation values and, as a previous step, output performance of smartphone embedded sensors needs to be verified. This paper analyzes the navigation performance of such devices by processing the raw measurements data output from smartphones. For this, up-to-dated versions of smartphones provided by Samsung (Galaxy s10e) and Xiaomi (Mi 8) are used in the test experiment to compare their performances and characteristics. The GNSS and IMU data are extracted and saved by using an open market application software (Geo++ RINEX Logger & Mobile MATLAB), and then analyzed in post-processing manner. For GNSS chipset, data is extracted from static environments and verified the position, Carrier-to-Noise (C/N0), Radio Frequency Interference (RFI) performance. For IMU sensor, the validity of navigation and various location-based-services is predicted by extracting, storing and analyzing data in static and dynamic environments.
Keywords
smartphone; global navigation satellite system; inertial measurement unit; navigation;
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1 Anghileri, M., Paonni, M., Wallner, S., Avila-Rodriguez, J.-A., & Eissfeller, B. 2008, Estimating the time-to-first-fix for GNSS signals theory and simulation results, European Navigation conference (ENCGNSS) Proceedings, Toulouse, France, pp.23-25.
2 BROADCOM 2020, BCM47755 [Internet], cited 2020, available from: https://www.broadcom.com/products/wireless/gnss-gps-socs/bcm47755
3 De, K. 2019, Samsung Galaxy S10 dual GPS support reportedly crippled in US models [Internet], cited 2020, available from: https://piunikaweb.com/2019/04/05/samsung-galaxy-s10-dual-gps-support-reportedlycrippled-in-us-models/
4 DeviceSpecifications 2018, Xiaomi Mi 8 Review [Internet], cited 2018, available from: https://www.devicespecifications.com/en/editor-review/4f1676/6
5 DeviceSpecifications 2019, Samsung Galaxy s10 Exynos Review [Internet], cited 2019, available from: https://www.devicespecifications.com/en/editor-review/d1fc9b/6
6 Grabowski, J. C. 2012, Personal Privacy Jammmer: Locating Jersey PPDs Jamming GBAS Saftey-of-Life Signlas [Internet], cited 2020, available from: https://www.gpsworld.com/personal-privacy-jammers-12837/
7 Jung, G. M., Choi, W. S., Han, K. Y., Seo, D. G., & Yeo, J. Y. 2011, LSB paradigm Shift and Service Trends by smartphone, Information & communications magazine, 28(7), 59-68
8 Kaplan, E. D. & Hegarty, C. J. 2005, Understanding GPS Principles and Applications, 2nd ed (Artech House, Inc.: Massachusetts).
9 Lee, S. B., Ji, G.-H., & Won, J. H. 2019, Experimental Tests to Assess Navigation Performance of Low-Cost GNSS Chips and IMU Sensors Embedded on Smartphones, Proceeding of ISGNSS2019, Oct 29-Nov 1 2019, Jeju, Korea, pp.403-406.
10 Lu, Y., Ji, S., Chen, W., & Wang, Z. 2018, Assessing the Performance of Raw Measurement from Different Types of Smartphones, In Proceedings of the 31st International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2018), Sep 24-28 2018, Miami, Florida, pp.304-322. https://doi.org/10.33012/2018.15881
11 Martí, E., García, J., & Molina, J. M. 2014, Navigation capabilities of mid-cost GNSS/INS vs. smartphone: Analysis and comparison in urban navigation scenarios, 17th International Conference on Information Fusion (FUSION), 7-10 July 2014, Salamanca, Spain, pp.1-7.
12 Miralles, D., Levigne, N., Akos, D. M. Blanch, J., & Lo, S. 2018, Android Raw GNSS Measurements as the New Anti- Spoofing and Anti-Jamming Solution, Proceedings of the 31st International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2018), September 24-28, 2018, Miami, Florida, pp.334-344. https://doi.org/10.33012/2018.15883
13 Takasu, T. & Yasuda, A. 2009, Development of the lowcost RTK-GPS receiver with an open source program package RTKLIB, in Proceedings of the International Symposium on GPS/GNSS, ICC Jeju, Korea, November 4-6, 2009, pp.4-6
14 Qian, J., Ma, J., Ying, R., Liu, P., & Pei, L. 2013, An improved indoor localization method using smartphone inertial sensors, Proceeding of Int. Conf. Indoor Positioning Indoor Navigat (IPIN), Oct. 28-31, 2013, pp.1-7. https://doi.org/10.1109/IPIN.2013.6817854
15 Robustelli, U., Baiocchi, V., & Pugliano, G. 2019, Assessment of dual frequency GNSS Observations from a Xiaomi Mi 8 Android smartphone and Positioning Performance Analysis, Electronics, 8, 91. https://doi.org/10.3390/electronics8010091   DOI
16 Takasu, T. 2013, RTKLIB: Documents [Internet], cited 2013, available from: http://www.rtklib.com/rtklib_document.htm
17 Warnant, R., Van De Vyvere, L., & Warnant, Q. 2018, Positioning with Single and Dual Frequency Smartphones Running Android 7 or Later, Proceedings of the 31st International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2018), Miami, Florida, September 26, 2018, pp.284-303. https://doi.org/10.33012/2018.15880
18 White Paper 2018, Using GNSS Raw measurements on Android devices [Internet], cited 2018, available from: https://www.gsa.europa.eu/newsroom/news/available-now-white-paper-using-gnss-rawmeasurements-android-devices
19 Zhang, X., Tao, X., Zhu, F., Shi, X., & Wang, F. 2018, Quality assessment of GNSS observations from an Android N smartphone and positioning performance analysis using time-differenced filtering approach, GPS Solutions, 22, 70. https://doi.org/10.1007/s10291-018-0736-8   DOI