Research Article
WLAN Indoor Localization Using Angle of Arrival
@INPROCEEDINGS{10.1007/978-3-319-73564-1_12, author={Zengshan Tian and Yong Li and Mu Zhou and Yinghui Lian}, title={WLAN Indoor Localization Using Angle of Arrival}, proceedings={Machine Learning and Intelligent Communications. Second International Conference, MLICOM 2017, Weihai, China, August 5-6, 2017, Proceedings, Part I}, proceedings_a={MLICOM}, year={2018}, month={2}, keywords={Indoor localization Wi-Fi CFR AoA}, doi={10.1007/978-3-319-73564-1_12} }- Zengshan Tian
Yong Li
Mu Zhou
Yinghui Lian
Year: 2018
WLAN Indoor Localization Using Angle of Arrival
MLICOM
Springer
DOI: 10.1007/978-3-319-73564-1_12
Abstract
With the development of information technology and the rising of demanding for location-based services, indoor localization has obtained great attentions. Accurate estimation of Angle of Arrival (AoA) of signals make it possible to achieve a high precision location. So as to resolve multipath signals effectively and then extract AoA of the direct path, in this paper we first use the existing three-antenna commercial Wi-Fi Network Interface Card (NIC) to collect radio Channel Frequency Response (CFR) measurements and then jointly estimate AoA and Time of Arrival (ToA). Second, we propose a sensing algorithm to distinguish Line-of-Sight (LoS) and Non-Line-of-Sight (NLoS) propagation and therefore obtain finer localization. Our experiments in a rich multipath indoor environment show that the AoA-based the proposed localization system can achieve a median accuracy of 0.8 m and 1.3 m in LoS environment and NLoS environment, respectively.