Abstract
In urban canyon environments, the reception of GNSS multipath signals will cause the degradation of positioning precision of a GNSS receiver, and sometimes will lead to hundreds of meters positioning error. However, multipath signals, which are generated by reflections of the satellite line-of-sight signal, contain information about positions and velocities of the reflection objects. Therefore, they give means for a receiver to sense surrounding objects and environments. In this paper, an algorithm for he reflection object sensing and localization with GNSS multipath signals is proposed. The results of experiments show that this algorithm is able to estimate the distance, azimuth, and elevation of the reflection object with respect to the receiver with a root mean squared error of 10 m, 10°, and 5°, respectively. This method enables a GNSS receiver with the capability of environment sensing, avoidance of obstacles, and even positioning augmentation apart from its original positioning and navigation ability.
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References
Garin, L., van Diggelen, F., Rousseau, J.-M.: Strobe & edge correlator multipath mitigation for code. In: Proceedings of ION-GPS 1996, Institute of Navigation, Kansas City, MO, USA, September 1996, pp. 657–664 (1996)
Chen, X., Dovis, F., Pini, M., Mulassano, P.: Turbo architecture for multipath mitigation in global navigation satellite system receivers. IET Radar Sonar Navig. 5(5), 517–527 (2011)
Hsu, L.-T., Gu, Y., Kamijo, S.: 3D building model-based pedestrian positioning method using GPS/GLONASS/QZSS and its reliability calculation. GPS Solutions 20(3), 413–428 (2015). https://doi.org/10.1007/s10291-015-0451-7
Xu, H.S., Angrisano, A., Gaglione, S., et al.: Machine learning based LOS/NLOS classifier and robust estimator for GNSS shadow matching. Satell. Navig. 1, 15 (2020)
Gentner, C., Jost, T., Wang, W., et al.: Multipath assisted positioning with simultaneous localization and mapping. IEEE Trans. Wirel. Commun. 15(9), 6104–6117 (2016)
Gentner, C., Ma, B., Ulmschneider, M., et al.: Simultaneous localization and mapping in multipath environments. In: IEEE/ION Position, Location and Navigation Symposium (PLANS), Savannah, GA, USA, pp. 807–815 (2016)
Gentner, C., Pohlmann, R., Ulmschneider, M., et al.: Multipath assisted positioning for pedestrians. ION GNSS+, Tampa. FL, USA, pp. 2079–2086 (2015)
( 2016)
Groves, P.D.: GNSS
(2015)
Chen, X.: Statistical multipath model comparative analysis of different GNSS orbits in static urban canyon environment. Adv. Space Res. 62(5), 1034–1048 (2018)
Chen, X., He, D., Pei, L.: BDS B1I multipath channel statistical model comparison between static and dynamic scenarios in dense urban canyon environment. Satellite Navigation 1(1), 1–16 (2020). https://doi.org/10.1186/s43020-020-00027-7
(2014)Fleury, B.H., Tschudin, M., Heddergoot, R., Dahlhaus, D., Pedersen, K.I.: Channel parameter estimation in mobile radio environments using the SAGE algorithm. IEEE J. Sel. Areas Commun. 17(3), 434–450 (1999)
Van Nee, R.D.J.: The multipath estimating delay lock loop. In: Proceedings of the IEEE 2nd International Symposium on Spread Spectrum Techniques and Applications, Yokohama, Japan, November 1992.
Chen, X., Dovis, F., Peng, S., Morton, Y.: Comparative studies of GPS multipath mitigation methods performance. IEEE Trans. Aerosp. Electron. Syst. 39(3), 1555–1568 (2013)
Chen, X., Morton, J., Yu, W., Truong, T.-K.: GPS L1CA/BDS B1I multipath channel measurements and modeling for dynamic land vehicle in Shanghai dense urban area. IEEE Trans. Veh. Technol. https://doi.org/10.1109/TVT.2020.3038646.
Was, M., Ziskind, I.: Detection of the number of coherent signals by the MDL principle. IEEE Trans. Acoust. Speech Signal Process. 37(8), 1190–1196 (1989)
Arulampalam, M.S., Maskell, S., Gordon, N., Clapp, T.: A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking. IEEE Trans. Signal Process. 50(2), 174–188 (2002)
( 2016)
(2015)
(2014)Acknowledgments
Acknowledgments The research work in this paper is supported by the National Key Research and Development Program (2018YFB0505103) and the Science and Technology Project of State Grid Corporation of China (SGSHJX00KXJS1901531).
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Chen, X., Shao, Y., He, D., Yu, W. (2021). Reflection Objects Sensing and Localization with GNSS Multipath Signals. In: Yang, C., Xie, J. (eds) China Satellite Navigation Conference (CSNC 2021) Proceedings. Lecture Notes in Electrical Engineering, vol 774. Springer, Singapore. https://doi.org/10.1007/978-981-16-3146-7_20
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DOI: https://doi.org/10.1007/978-981-16-3146-7_20
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