TY - GEN
T1 - A multi-hop distributed indoor localization algorithm for ultra-wide-band sensor network
AU - He, Chengyang
AU - Xia, Yinqiu
AU - Yu, Chengpu
AU - Jiang, Chaoyang
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/12/13
Y1 - 2020/12/13
N2 - This paper proposes a multi-hop distributed sensor network localization method based on UWB ranging measurements. Different from the positioning algorithm suitable for known indoor environments, this algorithm is designed for the exploration needs of unknown areas. Based on the barycentric coordinates of the tetrahedron, the expansion of the sensor network is realized through the multi-hop of the UWB sensor. The proposed algorithm can be applied for three-dimensional space. By designing time-varying weight coefficients and combining Taylor expansion, the localization performance is enhanced. Finally, a numerical simulation is given to verify the effectiveness of the proposed algorithm.
AB - This paper proposes a multi-hop distributed sensor network localization method based on UWB ranging measurements. Different from the positioning algorithm suitable for known indoor environments, this algorithm is designed for the exploration needs of unknown areas. Based on the barycentric coordinates of the tetrahedron, the expansion of the sensor network is realized through the multi-hop of the UWB sensor. The proposed algorithm can be applied for three-dimensional space. By designing time-varying weight coefficients and combining Taylor expansion, the localization performance is enhanced. Finally, a numerical simulation is given to verify the effectiveness of the proposed algorithm.
UR - http://www.scopus.com/inward/record.url?scp=85100115145&partnerID=8YFLogxK
U2 - 10.1109/ICARCV50220.2020.9305442
DO - 10.1109/ICARCV50220.2020.9305442
M3 - Conference contribution
AN - SCOPUS:85100115145
T3 - 16th IEEE International Conference on Control, Automation, Robotics and Vision, ICARCV 2020
SP - 1335
EP - 1340
BT - 16th IEEE International Conference on Control, Automation, Robotics and Vision, ICARCV 2020
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 16th IEEE International Conference on Control, Automation, Robotics and Vision, ICARCV 2020
Y2 - 13 December 2020 through 15 December 2020
ER -