Version 1
: Received: 15 September 2017 / Approved: 15 September 2017 / Online: 15 September 2017 (14:18:59 CEST)
How to cite:
Wu, J.; Zhu, M.; Xiao, B.; He, W. IMU-Aided Dual-Frequency RFID Based Localization in LOS/NLOS Hybrid Environment. Preprints2017, 2017090068. https://doi.org/10.20944/preprints201709.0068.v1
Wu, J.; Zhu, M.; Xiao, B.; He, W. IMU-Aided Dual-Frequency RFID Based Localization in LOS/NLOS Hybrid Environment. Preprints 2017, 2017090068. https://doi.org/10.20944/preprints201709.0068.v1
Wu, J.; Zhu, M.; Xiao, B.; He, W. IMU-Aided Dual-Frequency RFID Based Localization in LOS/NLOS Hybrid Environment. Preprints2017, 2017090068. https://doi.org/10.20944/preprints201709.0068.v1
APA Style
Wu, J., Zhu, M., Xiao, B., & He, W. (2017). IMU-Aided Dual-Frequency RFID Based Localization in LOS/NLOS Hybrid Environment. Preprints. https://doi.org/10.20944/preprints201709.0068.v1
Chicago/Turabian Style
Wu, J., Bo Xiao and Wei He. 2017 "IMU-Aided Dual-Frequency RFID Based Localization in LOS/NLOS Hybrid Environment" Preprints. https://doi.org/10.20944/preprints201709.0068.v1
Abstract
The mitigation of NLOS (non-line-of-sight) propagation conditions is one of main challenges in wireless signals based indoor localization. When RFID localization technology is applied in applications, RSS fluctuates frequently due to the shade and multipath effect of RF signal, which could result in localization inaccuracy. In particularly, when tags carriers are walking in LOS (line-of-sight) and NLOS hybrid environment, great attenuation of RSS will happen, which would result in great location deviation. The paper proposes an IMU-assisted (Inertial Measurement Unit) RFID based indoor localization in LOS/NLOS hybrid environment. The proposed method includes three improvements over previous RSS based positioning methods: IMU aided RSS filtering, IMU aided LOS/NLOS distinguishing and IMU aided LOS/NLOS environment switching. Also, CRLB (Cramér-Rao Low Bound) is calculated to prove theoretically that indoor positioning accuracy for proposed method in LOS/NLOS mixed environment is higher than position precision of only use RSS information. Simulation and experiments are conducted to show that proposed method can reduce the mean positioning error to around 3 meters without site survey.
Keywords
dual-frequency RFID; indoor localization; non line of sight; received signal strength; inertial measurement unit
Subject
Computer Science and Mathematics, Information Systems
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.
