@inproceedings{3d58bd1bc841444b94caf2697be18ee1,
title = "Investigation on Indoor Positioning by Improved RTT-RSS Fusion Ranging Method",
abstract = "With the development of wireless sensor network (WSN) technology, WSN based indoor localization technology has received more and more attention. Wi-Fi based ranging methods has become a current research hotspot in the field of localization due to their low cost and low complexity. However, the use of Wi-Fi based ranging methods is subject to large errors due to noise and multipath effects. To address this challenge, in this paper, the indoor positioning of RTT-RSS fusion is investigated by the improved ranging method. Firstly, the logarithmic attenuation model based on RSSI is improved by quadratic polynomial and the RTT is calibrated by linear model. And then the adaptive weighting method is adopted to fuse the RTT and RSS. Finally, the positions of the target nodes are obtained by the trilateral localization method. In the experimental results, the complex environment of indoor localization is simulated in the corridor and lounge respectively. And the results show that the method proposed in this paper can effectively improve the localization accuracy compared with the traditional method.",
keywords = "indoor localization, logarithmic attenuation model, RSSI, RTT, trilateration",
author = "Jiabin Dong and Lila Rana and Shuyu Cui and Jinlong Li and Jungyu Hwang and Joongoo Park",
note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 6th IEEE International Conference on Electronics and Communication Engineering, ICECE 2023 ; Conference date: 15-12-2023 Through 17-12-2023",
year = "2023",
doi = "10.1109/ICECE59822.2023.10462313",
language = "English",
series = "2023 IEEE 6th International Conference on Electronics and Communication Engineering, ICECE 2023",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "49--53",
booktitle = "2023 IEEE 6th International Conference on Electronics and Communication Engineering, ICECE 2023",
address = "United States",
}