we propose a novel Non-Line-of-Sight (NLOS) identification and error-mitigation method for dynamic object positioning and ultra-wideband (UWB) ranging. By applying inverse estimation on known Anchor Points (Aps) and improved unscented Kalman filter (IRUKF), the proposed technology identifies and compensates for NLOS occlusions between tag and APs, reducing positioning errors. The approach has been verified through simulation and experiment, with identification precision of 97.02%.

DOI Link: 
10.21227/fx7b-7p46
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[1] Qiu Wang, "NLOS occlusion UWB TOA ranging dataset in indoor environment", IEEE Dataport, 2023. [Online]. Available: http://dx.doi.org/10.21227/fx7b-7p46. Accessed: Nov. 29, 2023.
@data{fx7b-7p46-23,
doi = {10.21227/fx7b-7p46},
url = {http://dx.doi.org/10.21227/fx7b-7p46},
author = {Qiu Wang },
publisher = {IEEE Dataport},
title = {NLOS occlusion UWB TOA ranging dataset in indoor environment},
year = {2023} }
TY - DATA
T1 - NLOS occlusion UWB TOA ranging dataset in indoor environment
AU - Qiu Wang
PY - 2023
PB - IEEE Dataport
UR - 10.21227/fx7b-7p46
ER -
Qiu Wang. (2023). NLOS occlusion UWB TOA ranging dataset in indoor environment. IEEE Dataport. http://dx.doi.org/10.21227/fx7b-7p46
Qiu Wang, 2023. NLOS occlusion UWB TOA ranging dataset in indoor environment. Available at: http://dx.doi.org/10.21227/fx7b-7p46.
Qiu Wang. (2023). "NLOS occlusion UWB TOA ranging dataset in indoor environment." Web.
1. Qiu Wang. NLOS occlusion UWB TOA ranging dataset in indoor environment [Internet]. IEEE Dataport; 2023. Available from : http://dx.doi.org/10.21227/fx7b-7p46
Qiu Wang. "NLOS occlusion UWB TOA ranging dataset in indoor environment." doi: 10.21227/fx7b-7p46