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Optimization technique for pseudorange multipath mitigation using different signal selection methods

Treść / Zawartość
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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Nowadays, the use of multi-Global Navigation Satellite System (GNSS) has improved positioning accuracy in autonomous driving, navigation and tracking systems utilized by general users. However, signal quality in urban areas is degraded by poor satellite geometry and severe multipath errors, which may disturb up to a hundred-meter-ranging error as a consequence. In this study, the performance of several satellite selection methods in multipath mitigation was evaluated, based on the concept that better quality signals and more accurate solutions will be obtained, the more multipath signals can be excluded. Three methods were performed and compared: 1) azimuth-dependent elevation mask based on fisheye image technique, 2) receiver autonomous integrity monitoring (RAIM), and 3) signalto-noise ratio (SNR) mask in the SPP method. To examine the effect of the satellite selection methods on multipath error, the static test (single-point positioning (SPP) in real-time 1 Hz test) was performed in a multipath environment. The preliminary results showed a possible impact on improving the horizontal positioning accuracy of SPP. Among the three techniques assessed in this study, the results indicated that the SNR mask set at 36 dB-Hz in every elevation showed the most promising result. The SNR mask method could improve positioning accuracy by up to 46.80% compared to the SPP method.
Rocznik
Strony
77--86
Opis fizyczny
Bibliogr. 18 poz., rys., tab.
Twórcy
  • Department of Survey Engineering, Faculty of Engineering, Chulalongkorn University, Bangkok, Thailand
  • Department of Survey Engineering, Faculty of Engineering, Chulalongkorn University, Bangkok, Thailand
  • Department of Aerospace Engineering, Osaka Prefecture University, Osaka, Japan
Bibliografia
  • Dammalage T.L., Satirapod C, Kibe S. & Ogaja C. (2010) Wavelet transform application to C/A Code multipath mitigation at GPS reference stations for improved differential GPS corrections, Survey Review, Vol. 42, 240-255.
  • Groves, P. D. (2013). GNSS Solutions: Multipath vs. NLOS signals. How Does Non-Lineof-Sight Reception Differ From Multipath Interference, Inside GNSS, Vol.8, 40-44.
  • Groves, P.D., Height, Z. J., Rudi M. & Strode P. (2013). A Portfolio Approach to NLOS and Multipath Mitigation in Dense Urban Area. Proc. of the 26th International Technical Meeting of the Satellite Division of the Institute of Navigation 2013, Nashville, U.S.A, 3231-3247.
  • Hsu, L.T., Jan, S.S., Groves, P. & Kubo, N. (2016) Multiple Faulty GNSS Measurement Exclusion based on Consistency Check in Urban Canyons, IEEE Sensors Journal, Vol. 17, 1909–1917. doi:10.1109/JSEN.2017.2654359
  • Iwase, T., Susuki, N. & Watanabe, Y. (2013) Estimation and Exclusion of Multipath Range Error for Robust Positioning, GPS Solutions, Vol. 17, 53-62. doi:10.1007/s10291-012-0260-1
  • Lin, K.Q., Deng, Z.L. & Yin, L. (2018) Effective Multipath Mitigation Methods for RTK in Urban Environments. Proc. of China Satellite Navigation Conference (CSNC) 2018, Harbin, China, 565-576.
  • Matera E.R., Peña A.J.G., Julien, O., Milner, C. & Ekambi, B. (2019) Characterization of Line-of-Sight and Non-Line-of-Sight Pseudorange Multipath Errors in Urban Environment for GPS and Galileo, Proc. of the 2019 International Technical Meeting of The Institute of Navigation, Reston, Virginia, U.S.A., January, 177-196.
  • Sánchez, J.S., Gerhmann, A., Thevanon, P. & Brocard, P. (2017) Use of a Fisheye Camera for GNSS NLOS Exclusion and Characterization in Urban Environments, Proc. of the 2016 International Technical Meeting of The Institute of Navigation, Monterey, California, U.S.A., January, 283-292.
  • Satirapod C. & Rizos C. (2005) Multipath Mitigation by Wavelet Analysis for GPS Base Station Applications, Survey Review, Vol. 38, 2-10.
  • Špánik P. & Hefty J. (2017) Multipath Detection with the Combination of SNR Measurements - Example from Urban Environment, GEODESY AND CARTOGRAPHY, Vol. 66, 305-315.
  • Suzuki, T. (2011) High - Accuracy GPS and GLONASS Positioning by Multipath Mitigation Using Omnidirectional Infrared Camera, IEEE International Conference on Robotic and Automation, 311-316. doi:10.1109/ICRA.2011.5980424
  • Suzuki, T. & Kubo, N. (2015) Simulation of GNSS Satellite Availability in Urban Environments Using Google Earth, Proc. of the ION 2015 Pacific PNT Meeting, Honolulu, Hawaii, U.S.A., April, 1069-1079.
  • Takasu T. (2013) GNSS RTKLIB software Version 2.4.2 Manual. Retrieved from http://www.rtklib.com/prog/manual_2.4.2.pdf. Teunissen P. J.G. & Montenbruck O. Eds (2017). Springer Handbook of Global Navigation Satellite Systems: Switzerland. doi: 10.1007/978-3-319-42928-1.
  • Tokura, H. & Kubo, N. (2014) Using Multiple GNSS Constellations with Strict Quality Constraints for More Accurate Positioning in Urban Environments, Scientific Research , Vol. 5, 85-96. doi:10.4236/pos.2014.54011
  • Tokura H. & Kubo N. (2017) Efficient Satellite Selection Method for Instantaneous RTKGNSS in Challenging Environments. Trans. Japan Soc. Aero. Space Sci., Vol. 60, 221-229. doi:10.2322/tjsass.60.221
  • Tongleamnak, S. & Nagakai, M. (2017) Simulation of GNSS Availability in Urban Environments Using a Paranomic Image Dataset. International Journal of Navigation and Observation, Vol. 2017. doi:10.1155/2017/8047158
  • Townsend B.R. & Fenton P.C. (1994) A Practical Approach to the Reduction of Pseudorange Multipath Errors in an L1 GPS Receiver. Proc. of the 7th International Technical Meeting of the Satellite Division of The Institute of Navigation 1994, Salt Lake City, UT, U.S.A., September, 143-148.
  • Wang, E., Cai, M., & Pang, T. (2012) A Simple and Effective GPS Receiver Autonomous Integrity Monitoring and Fault Isolation Approach. IEEE, 657-660. doi:10.1109/ICCECT.2012.145
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-7abef79d-4a91-492d-902e-fd35da84c88f
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