Abstract
Positioning based on wireless communication networks has great application potential. In this paper, we propose a positioning method for the 5G-Advanced (5GA) or 6G network. Firstly, we establish the communication link and generate the map-based hybrid channel model based on 3GPP standards and open-source maps, where each multipath channel is expanded into a cluster that contains 20 rays. Then, we improve the Orthogonal-Matching-Pursuit (OMP) algorithm, which can estimate Angle-Of-Arrival (AOA) through only one OFDM symbol and does not require the signal to have a very narrow bandwidth, a high Signal-to-Noise-Ratio (SNR) or multiple snapshots like the classical OMP algorithm. Finally, we propose a positioning algorithm, which locates the target through the estimated AOA and the open-source map. The proposed method can locate the target with a single Base Station and has the advantages of lower delay, lower cost, and higher accuracy. The simulation results show that the positioning error of the proposed algorithm is submeter in 63% of the cases and less than 2.2 m in 80% of the cases.
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The experimental data used to support the findings of this study are available upon request from the corresponding author.
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Acknowledgements
Zhengqi Zheng reports that financial support was provided by the National Natural Science Foundation of China. Kun Zhao reports that financial support was provided by the Shanghai Municipal Science and Technology Commission.
Funding
This work was sponsored by the National Natural Science Foundation of China (No. 61771197) and the Science and Technology Commission of Shanghai Municipality (Grant no. 22DZ2229004).
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YW: Conceptualization; Methodology; Software; Verification; Formal analysis; Investigation; Resources; Data Curation; Writing. KZ: Review; Project Administration. ZZ: Supervision; Project management.
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Wang, Y., Zhao, K. & Zheng, Z. A positioning method based on map and single base station towards 6G networks. Wireless Netw (2024). https://doi.org/10.1007/s11276-023-03633-w
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DOI: https://doi.org/10.1007/s11276-023-03633-w