TY - GEN
T1 - 5G Positioning Method Based on Finite Rate of Innovation Sampling
AU - Wang, Zhaoyang
AU - Han, Bingtong
AU - Fu, Ning
AU - Wei, Zhiliang
AU - Liu, Zhenhua
AU - Qiao, Liyan
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - Although the 5G positioning accuracy has been greatly improved due to the support of technologies such as large bandwidth and massive MIMO, it also brings a problem that the receiver needs to process massive amounts of data to obtain the position information of user equipment (UE). The finite rate of innovation (FRI) sampling theory can recover unknown information of signals through a small number of samples. In order to reduce the amount of data that needs to be processed during the 5G positioning process and effectively estimate the position of UE, this paper proposes a 5G positioning method based on FRI sampling. A FRI sampling structure for sounding reference signal (SRS) is proposed in this paper, and a signal arrival time reconstruction algorithm for this sampling structure is proposed. Finally, based on the estimated signal arrival time parameters, the position estimation of UE can be obtained by solving the positioning equation. The simulation results show that under certain conditions, this method can significantly reduce the sampling rate while maintaining positioning accuracy at the sub meter level. This article also analyzes the impact of factors such as the number of samples and sampling interval on the performance of this method.
AB - Although the 5G positioning accuracy has been greatly improved due to the support of technologies such as large bandwidth and massive MIMO, it also brings a problem that the receiver needs to process massive amounts of data to obtain the position information of user equipment (UE). The finite rate of innovation (FRI) sampling theory can recover unknown information of signals through a small number of samples. In order to reduce the amount of data that needs to be processed during the 5G positioning process and effectively estimate the position of UE, this paper proposes a 5G positioning method based on FRI sampling. A FRI sampling structure for sounding reference signal (SRS) is proposed in this paper, and a signal arrival time reconstruction algorithm for this sampling structure is proposed. Finally, based on the estimated signal arrival time parameters, the position estimation of UE can be obtained by solving the positioning equation. The simulation results show that under certain conditions, this method can significantly reduce the sampling rate while maintaining positioning accuracy at the sub meter level. This article also analyzes the impact of factors such as the number of samples and sampling interval on the performance of this method.
KW - finite rate of innovation (FRI)
KW - parameter estimation
KW - positioning technologies
KW - sub-nyquist sampling
KW - time difference of arrival(TDOA)
UR - https://www.scopus.com/pages/publications/85174965719
U2 - 10.1109/ICEMI59194.2023.10269896
DO - 10.1109/ICEMI59194.2023.10269896
M3 - 会议稿件
AN - SCOPUS:85174965719
T3 - Proceedings of 2023 IEEE 16th International Conference on Electronic Measurement and Instruments, ICEMI 2023
SP - 436
EP - 440
BT - Proceedings of 2023 IEEE 16th International Conference on Electronic Measurement and Instruments, ICEMI 2023
A2 - Wu, Juan
A2 - Yin, Jiali
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 16th IEEE International Conference on Electronic Measurement and Instruments, ICEMI 2023
Y2 - 9 August 2023 through 11 August 2023
ER -