“UWB-Based Single-Anchor Indoor Localization Using Channel Impulse Response” by Hessam Mohammadmoradi, Milad Heydariaan, Omprakash Gnawali, and and Kyungki Kim. In Proceedings of the Workshop on Computing, Networking and Communications (CNC 2019), Feb. 2019.
Indoor localization has many applications in the context of smart buildings that interact with objects and humans. Due to their resilience to multipath fading, high penetration rate and low duty cycles, Ultra-wideband (UWB) radio have been utilized in indoor localization. In the presence of Line-of-Sight (LoS) signals, UWB-based indoor localization system can locate a target with small errors (< 5cm) but in situations with Non-Line- of-Sight (NLoS) signals, UWB systems work at a much reduced accuracy. In this work, NLoS signals are utilized to improve the robustness of the positioning system. The proposed system uses the statistical characteristics of Channel Impulse Response (CIR) of UWB signals in different locations as fingerprints and locates the target node based on previously seen locations. We implement and evaluate our proposed system on Decawave platform. Our evaluation shows that the proposed solution can locate objects within squares of 20cm × 20cm, with an accuracy of 96% using only one anchor which outperforms existing solutions in robustness and accuracy.
BibTeX entry:
@inproceedings{uwbsingleanchor-cnc2019,
author = {Hessam Mohammadmoradi and Milad Heydariaan and Omprakash
Gnawali and and Kyungki Kim,},
title = {UWB-Based Single-Anchor Indoor Localization Using Channel
Impulse Response},
booktitle = {Proceedings of the Workshop on Computing, Networking and
Communications (CNC 2019)},
month = feb,
year = {2019}
}