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Smoothing Smartphone GPS Raw Measurements | ||
| Engineering and Technology Journal | ||
| Article 2, Volume 37, 9A, 2019, Pages 359-363 PDF (459.21 K) | ||
| Document Type: Research Paper | ||
| DOI: 10.30684/etj.37.9A.2 | ||
| Authors | ||
| Tariq N. Ataiwe1; Abbas Z. Khalaf2; Israa H. Mohammed2 | ||
| 1Civil Engineering, University of Technology - Iraq | ||
| 2Department of Civil Engineering, University of Technology - Iraq | ||
| Abstract | ||
| This research aims to investigate the smoothing of the pseudo-range raw measurements of the smartphone using a Hatch filter. The measurements of smartphones suffer from high noise generated from low-cost antennas and oscillators, which are designed to work in a certain way. These types of low-cost antennas and oscillators are entirely different from geodetic instruments, which are designed for high accuracy positioning. The GPS measurement data were collected using a Huawei P10 device, 41 minutes and 24 seconds GPS observation time with sampling intervals of 1 second using Geo++ Android application. The GPS measurements are processed using standalone (epoch by epoch) method, by MATLAB software developed by the authors, as a part of a software package for processing smartphone GPS measurements. The errors in raw measurements in the Easting, Northing, and Up (ENU) components when using standalone (epoch by epoch) method are ranging from -50m to 30m, and the errors after applying the Hatch filter are reduced to have ranged from -10m to 5m, the raw data were very noisy and funded it has many cycles slips as a result of low-cost antennas and oscillators of smartphone’s. The cycle slips in the measurements were detected and found that it was the result of jumping the errors to 27 m in northing and 43 m in up. | ||
| Keywords | ||
| Hatch filter; GPS smoothing; GPS Smartphone | ||
| References | ||
|
[1] N. Gogoi, A. Minetto, N. Linty, and F. Dovis, “A Controlled-Environment Quality Assessment of Android GNSS Raw Measurements,” Electronics, vol. 8, no.1, p. 5, 2019. [2] E. D. Kaplan and C. Hegarty, “Understanding GPS/GNSS: Principles and Applications,” Artech House, Third Edition, 2017. [3] P. Misra and P. Enge, “Global Positioning System: signals, measurements and performance,” Ganga-Jamuna Press, Second edition, Massachusetts, 2006. [4] B. Park, C. Lim, Y. Yun, E. Kim, and C. J. S. Kee, “Optimal divergence-free Hatch filter for GNSS single-frequency measurement,” Sensors, vol. 17, no. 3, p. 448, 2017. [5] J. Guo, J. Ou, Y. Yuan, and H. J. P. i. N. S. Wang, “Optimal carrier-smoothed-code algorithm for dual-frequency GPS data,” Progress in Natural Science: Materials International, vol. 18, no. 5, pp. 591-594, 2008. [6] G. Xu, and Y. Xu, “GPS: theory, algorithms and applications,” Springer, 2016. [7] R. Hatch, “The synergism of GPS code and carrier measurements,” International Geodetic Symposium on Satellite Doppler Positioning, Washington, DC, pp. 1213-1231, 1983. [8] Z. Dai, “MATLAB software for GPS cycle-slip processing,” GPS solutions, vol. 16, pp. 267-272, 2012. | ||
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