TY - GEN
T1 - A Normalization Method for Unified Near-Field and Far-Field Localization
AU - Yao, Yu
AU - Fang, Lili
AU - Bao, Xiue
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - An improved normalization method for unified near- field and far-field localization is proposed. The localization problem could be solved in the modification polar coordinate system (MPR) by firstly linearizing the nonlinear equations and using the weighted least squares (WLS) to obtain a coarse solution, then the coarse solution is tightened by a new constraint about the correlation between signals. The simulation results show that the proposed method could achieve a more efficient result compared with the traditional unified localization methods.
AB - An improved normalization method for unified near- field and far-field localization is proposed. The localization problem could be solved in the modification polar coordinate system (MPR) by firstly linearizing the nonlinear equations and using the weighted least squares (WLS) to obtain a coarse solution, then the coarse solution is tightened by a new constraint about the correlation between signals. The simulation results show that the proposed method could achieve a more efficient result compared with the traditional unified localization methods.
KW - Weighted least squares
KW - closed-form solution
KW - modification polar coordinate system
KW - normalization
KW - time difference of arrival
KW - unified localization
UR - http://www.scopus.com/inward/record.url?scp=85171450874&partnerID=8YFLogxK
U2 - 10.1109/IWS58240.2023.10222836
DO - 10.1109/IWS58240.2023.10222836
M3 - Conference contribution
AN - SCOPUS:85171450874
T3 - 2023 IEEE MTT-S International Wireless Symposium, IWS 2023 - Proceedings
BT - 2023 IEEE MTT-S International Wireless Symposium, IWS 2023 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2023 IEEE MTT-S International Wireless Symposium, IWS 2023
Y2 - 14 May 2023 through 17 May 2023
ER -