Version 1
: Received: 8 April 2024 / Approved: 8 April 2024 / Online: 9 April 2024 (07:33:57 CEST)
How to cite:
Liu, J.; Deng, Z.; Hu, E. A NLOS Ranging Error Mitigation Method for 5G Positioning in Indoor Environments. Preprints2024, 2024040574. https://doi.org/10.20944/preprints202404.0574.v1
Liu, J.; Deng, Z.; Hu, E. A NLOS Ranging Error Mitigation Method for 5G Positioning in Indoor Environments. Preprints 2024, 2024040574. https://doi.org/10.20944/preprints202404.0574.v1
Liu, J.; Deng, Z.; Hu, E. A NLOS Ranging Error Mitigation Method for 5G Positioning in Indoor Environments. Preprints2024, 2024040574. https://doi.org/10.20944/preprints202404.0574.v1
APA Style
Liu, J., Deng, Z., & Hu, E. (2024). A NLOS Ranging Error Mitigation Method for 5G Positioning in Indoor Environments. Preprints. https://doi.org/10.20944/preprints202404.0574.v1
Chicago/Turabian Style
Liu, J., Zhongliang Deng and Enwen Hu. 2024 "A NLOS Ranging Error Mitigation Method for 5G Positioning in Indoor Environments" Preprints. https://doi.org/10.20944/preprints202404.0574.v1
Abstract
Positioning based on wireless signals such as mobile communication networks has become an important means to provide high-precision location services in environments where satellite signals are blocked. In complex environments such as indoor and underground, wireless signal propagation is obstructed and non-line-of-sight (NLOS) phenomena appears due to serious occlusion and reflection. The time delay caused by NLOS effects has little impact on communication system but can significantly increase positioning errors in positioning systems. Therefore, effective suppression of NLOS errors is crucial to improving 5G positioning accuracy. To address the insufficient feature extraction of existing NLOS error suppression methods, the neglect of residual NLOS measurement errors, and poor stability of position estimation results, this paper innovatively proposes a NLOS mitigation and location estimation method for 5G positioning terminals. Simulation and experimental test results demonstrate that the proposed method outperforms the comparative methods both theoretically and practically, achieving an average positioning accuracy of 1.85 meters in complex indoor NLOS environments. The method proposed in this paper provides a new strategy for NLOS error suppression in indoor 5G positioning, which can significantly contribute to high-precision location services based on commercial 5G networks.
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
