@inproceedings{0101ef341bdf418da4e0f75eb56aa543,
title = "A UWB 3D Localization Algorithm Based on Residual Weighting",
abstract = "This paper proposed an improved algorithm based on Chan algorithm to improve the accuracy of three-dimensional (3D) positioning. For the 3D indoor positioning based on ultra wide band (UWB), the positioning accuracy is reduced due to non-line-of-sight environment (NLOS). Analyzing the TDOA wireless positioning technology based on UWB and deducing the Chan algorithm which can be applied to 3D positioning. The UWB locates the base station group, uses the three-dimensional Chan algorithm to estimate the tag coordinates for each group of base stations, and use the error by using the residual value weighting method. The simulation results show that the positioning accuracy of the estimated position of the tag is significantly improved by the residual weighting method. When the noise variance is 0.5, the average root mean square error is 0. 53m, which can effectively suppress the influence of NLOS.",
keywords = "3D Positioning, Chan Algorithm, NLOS, UWB",
author = "Yonggang Zhang and Feng Shen and Qi Liu and Wenqiang Li",
note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 17th IEEE International Conference on Mechatronics and Automation, ICMA 2020 ; Conference date: 13-10-2020 Through 16-10-2020",
year = "2020",
month = oct,
day = "13",
doi = "10.1109/ICMA49215.2020.9233860",
language = "英语",
series = "2020 IEEE International Conference on Mechatronics and Automation, ICMA 2020",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "309--313",
booktitle = "2020 IEEE International Conference on Mechatronics and Automation, ICMA 2020",
address = "美国",
}