Abstract
This paper mainly designs a vehicle positioning algorithm based on single base station, which can both consider the angle and distance between the vehicle and the base station. The known vehicle location environment is free of any occlusion. The propagation loss prediction model is used to measure the distance between the base station and the vehicle according to the known transmitting power and receiving power. The uniform antenna array are installed on the base station, and the signal angle is obtained by ESPRIT algorithm. Finally, the coordinate system is constructed by using geometric model, and the coordinates of vehicles are calculated according to the triangular formula. If the speed or acceleration of the vehicle is known, the coordinates of the vehicle in the next second can be obtained through physical knowledge, so as to achieve vehicle location. By comparing with the literatures, the positioning scheme designed in this paper is more accurate than that in the selected literatures.
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Acknowledgements
This work is supported by the National Natural Science Foundation of China under Grant No. 61701284, 61472229, 31671588 and 61801270, the China Postdoctoral Science Foundation Funded Project under Grant No. 2017M622233, the Innovative Research Foundation of Qingdao, the Application Research Project for Postdoctoral Researchers of Qingdao, the Scientific Research Foundation of Shandong University of Science and Technology for Recruited Talents under Grant No. 2016RCJJ010, the Sci. & Tech. Development Fund of Shandong Province of China under Grant No. 2016ZDJS02A11, ZR2017BF015 and ZR2017MF027, the Taishan Scholar Climbing Program of Shandong Province, SDUST Research Fund under Grant No. 2015TDJH102, the Qingdao Philosophy and Social Sciences Planning Project under Grant No. QDSKL1801131, and the Ministry of Education Humanities and Social Sciences Research Youth Fund Project under Grant No. 17YJCZH187.
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Chen, G., Liu, X., Zeng, Q., Wen, Y. (2020). A Vehicle Positioning Algorithm Based on Single Base Station in the Vehicle Ad Hoc Networks. In: Liang, Q., Wang, W., Liu, X., Na, Z., Jia, M., Zhang, B. (eds) Communications, Signal Processing, and Systems. CSPS 2019. Lecture Notes in Electrical Engineering, vol 571. Springer, Singapore. https://doi.org/10.1007/978-981-13-9409-6_237
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DOI: https://doi.org/10.1007/978-981-13-9409-6_237
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