Multi-Frequency-Ranging Positioning Algorithm for 5G OFDM Communication Systems

LI Wengang; XU Yaqin; ZHANG Chenmeng; TIAN Yiheng; LIU Mohan; HUANG Jun

doi:10.23919/cje.2021.00.124

Volume 32 Issue 4

Jul. 2023

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Article Navigation > Chinese Journal of Electronics > 2023 > 32(4): 773-784

LI Wengang, XU Yaqin, ZHANG Chenmeng, et al., “Multi-Frequency-Ranging Positioning Algorithm for 5G OFDM Communication Systems,” Chinese Journal of Electronics, vol. 32, no. 4, pp. 773-784, 2023, doi: 10.23919/cje.2021.00.124

Citation:

LI Wengang, XU Yaqin, ZHANG Chenmeng, et al., “Multi-Frequency-Ranging Positioning Algorithm for 5G OFDM Communication Systems,” Chinese Journal of Electronics, vol. 32, no. 4, pp. 773-784, 2023, doi: 10.23919/cje.2021.00.124

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Multi-Frequency-Ranging Positioning Algorithm for 5G OFDM Communication Systems

doi: 10.23919/cje.2021.00.124

1.
State Key Laboratory of Integrated Services Networks, College of Communication Engineering, Xidian University, Xi’an 710000, China
2.
Electronic Countermeasures Academy, National University of Defense Technology, Hefei 230601, China

Funds: This work was supported by the National Natural Science Foundation of China (U21A20446).

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Author Bio:
Wengang LI received the B.E. degree in communication and information systems from Xidian University. He is currently an Associate Professor with the School of Communication Engineering, Xidian University. His research interests include navigation and positioning, broadband wireless communication, massive MIMO technology, networking technology and its application

Yaqin XU received the B.E. degree in electronic engineering from Xidian University. She is currently pursuing the M.S. degree with the School of Communication Engineering, Xidian University. Her research interests include vehicle navigation and positioning

Chenmeng ZHANG received the B.E. degree in electronic information science and technology from Jinan University. She is currently pursuing the M.S. Degree with the School of Communication Engineering, Xidian University. Her research interests include indoor navigation and positioning

Yiheng TIAN received the B.E. degree from Nanchang University of Communication Engineering. He is currently pursuing the M.S. degree with the School of Communication Engineering, Xidian University. His research interests include wireless communication and internet of vehicles

Mohan LIU received the B.E. degree in electronic and information engineering from Jiliang University. He is currently pursuing the M.S. degree with the School of Communication Engineering, Xidian University. His research interests include vehicle navigation and positioning

Jun HUANG (corresponding author) received the B.E. degree in automation, M.D. degree in military communication, and Ph.D. degree in information security all from PLA Electronic Engineering Institute. He is currently an Associate Professor at National University of Defense Technology. His research interests include wireless network security. (Email:huangjun0111@nudt.edu.cn)
Received Date: 2021-04-09
Accepted Date: 2022-03-11

Available Online: 2022-04-06

Publish Date: 2023-07-05

Abstract

Abstract

The accurate determination of vehicle location is of great research significance, considering challenges such as the multipath environment and the absence of Global Navigation Satellite System (GNSS) signals. In this particular environment, vehicles equipped with 5G wireless communication devices can enhance their positioning accuracy by exchanging information with infrastructure (vehicle-to-infrastructure, V2I). Therefore, in this paper, we propose a multifrequency ranging method and positioning algorithm specifically designed for 5G orthogonal frequency division multiplexing (OFDM) communication systems. Our approach involves selecting specific subcarriers within the OFDM communication system for transmitting ranging frames and capturing delay observations. Importantly, this selection does not affect the functionality of other subcarriers used for regular communication. By utilizing dedicated subcarriers for ranging and positioning, we achieve accurate vehicle location without significantly impacting communication capacity. We outline the method for selecting ranging subcarriers and describe the format of the ranging frame carried by these subcarriers. To evaluate the effectiveness of our system, we prove the Cramér-Rao lower bound of this ranging positioning system. The obtained ranging positioning accuracy meets the requirements for vehicle location applications. In our experimental simulations, we compare the performance of our system with other positioning methods, demonstrating its superiority. Additionally, we provide theoretical proofs and simulations that establish the relationship between ranging accuracy and channel parameters in a multipath environment. The simulation results indicate that, under the conditions of a 5 GHz frequency and a high signal-to-noise ratio, our system achieves a positioning accuracy of approximately 5 cm.
- Vehicle location,
- 5G,
- Orthogonal frequency division multiplexing,
- Multi-frequency ranging

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References(23)

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