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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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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