TY - GEN
T1 - An SDP-based TDOA Localization Method for Wireless Sensor Networks
AU - Zhao, Wensheng
AU - Duan, Xuting
AU - Tian, Daxin
AU - Zhou, Jianshan
AU - Xia, Shudong
AU - Sun, Yafu
AU - Wu, Yuanxi
AU - Ran, Xuejun
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021
Y1 - 2021
N2 - The accuracy of localization is exceedingly important since high accuracy positioning information can benefit location-based services. Non-line-of-sight (NLOS) errors are one of the most important factors affecting the accuracy of localization. To improve the positioning accuracy, it is necessary to reduce the impact of the NLOS errors. This letter proposes a novel semidefinite programming (SDP) optimization method to estimate source node position based on time-difference-of-arrival (TDOA) measurements which can mitigate NLOS errors. The main contributions of this letter include three points. First, this method does not require distinguishing NLOS connections from LOS connections, which is often difficult to be realized perfectly in practice. By formulating the original TDOA-based source localization problem as an SDP problem, the nonlinear nonconvex problem is solved. Second, new constraints about geometry and time are introduced to enhance localiztion accuracy. Third, The simulation results show that the proposed method outperforms several existing schemes in both mild and severe NLOS conditions.
AB - The accuracy of localization is exceedingly important since high accuracy positioning information can benefit location-based services. Non-line-of-sight (NLOS) errors are one of the most important factors affecting the accuracy of localization. To improve the positioning accuracy, it is necessary to reduce the impact of the NLOS errors. This letter proposes a novel semidefinite programming (SDP) optimization method to estimate source node position based on time-difference-of-arrival (TDOA) measurements which can mitigate NLOS errors. The main contributions of this letter include three points. First, this method does not require distinguishing NLOS connections from LOS connections, which is often difficult to be realized perfectly in practice. By formulating the original TDOA-based source localization problem as an SDP problem, the nonlinear nonconvex problem is solved. Second, new constraints about geometry and time are introduced to enhance localiztion accuracy. Third, The simulation results show that the proposed method outperforms several existing schemes in both mild and severe NLOS conditions.
KW - Non-line-of-sight (NLOS)
KW - Semidefinite programming (SDP)
KW - Time-difference-of-arrival (TDOA)
UR - https://www.scopus.com/pages/publications/85124031288
U2 - 10.1109/ICCAIS52680.2021.9624494
DO - 10.1109/ICCAIS52680.2021.9624494
M3 - 会议稿件
AN - SCOPUS:85124031288
T3 - 10th International Conference on Control, Automation and Information Sciences, ICCAIS 2021 - Proceedings
SP - 381
EP - 386
BT - 10th International Conference on Control, Automation and Information Sciences, ICCAIS 2021 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 10th International Conference on Control, Automation and Information Sciences, ICCAIS 2021
Y2 - 14 October 2021 through 17 October 2021
ER -