@inproceedings{a5dac03bf71145d3a6aaa3123b0f2c44,
title = "An empirical multi-wall NLOS ranging model for Wi-Fi RTT indoor positioning",
abstract = "This paper proposes a novel empirical non-line-of-sight (NLOS) ranging model, called a multi-wall model, for Wi-Fi round-trip-time (RTT) indoor positioning. It is purposely designed to account for NLOS ranging biases due to through-wall signal propagation in complex indoor environments. Also, a low-order polynomial term is added to capture unmodeled NLOS effects. The model takes a 2D geometry floor plan as prior input and learns its parameters from a few on-site training data. It is evaluated by experiments using a large public RTT dataset and our self-collected data and compared to the naive LOS ranging, the polynomial-based empirical model, and a data-driven model. Results show that our model has superior NLOS-ranging performance. At last, we show the application of our model in fingerprinting-based RTT positioning with experiments.",
keywords = "empirical model, fingerprinting, indoor positioning, NLOS, ray tracing, Wi-Fi RTT",
author = "Qing Liang and Guohao Zhang and Hsu, {Li Ta}",
note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 13th International Conference on Indoor Positioning and Indoor Navigation, IPIN 2023 ; Conference date: 25-09-2023 Through 28-09-2023",
year = "2023",
month = sep,
doi = "10.1109/IPIN57070.2023.10332471",
language = "English",
series = "Proceedings of the 2023 13th International Conference on Indoor Positioning and Indoor Navigation, IPIN 2023",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "Proceedings of the 2023 13th International Conference on Indoor Positioning and Indoor Navigation, IPIN 2023",
}