Research Article
WiHlo: A Case Study of WiFi-Based Human Passive Localization by Angle Refinement
@INPROCEEDINGS{10.1007/978-3-030-41117-6_18, author={Zengshan Tian and Weiqin Yang and Yue Jin and Gongzhui Zhang}, title={WiHlo: A Case Study of WiFi-Based Human Passive Localization by Angle Refinement}, proceedings={Communications and Networking. 14th EAI International Conference, ChinaCom 2019, Shanghai, China, November 29 -- December 1, 2019, Proceedings, Part II}, proceedings_a={CHINACOM PART 2}, year={2020}, month={2}, keywords={WiFi Passive localization AoA}, doi={10.1007/978-3-030-41117-6_18} }- Zengshan Tian
Weiqin Yang
Yue Jin
Gongzhui Zhang
Year: 2020
WiHlo: A Case Study of WiFi-Based Human Passive Localization by Angle Refinement
CHINACOM PART 2
Springer
DOI: 10.1007/978-3-030-41117-6_18
Abstract
The emergence of the Internet of Things (IoT) has promoted the interconnection of all things. And the access control of devices and accurate service promotion are inseparable from the acquisition of location information. We propose WiHlo, a passive localization system based on WiFi Channel State Information (CSI). WiHlo directly estimates the human location by refining the angle-of-arrival (AoA) of the subtle human reflection. WiHlo divides the received signals into static path components and dynamic path components, and uses phase offsets compensation and direct wave suppression algorithms to separate out the dynamic path signals. By combining the measured AoAs and time-of-arrivals (ToAs) with Gaussian mean clustering and probability analysis, WiHlo identifies the human reflection path from the dynamic paths. Our implementation and evaluation on commodity WiFi devices demonstrate WiHlo outperforms the state-of-the-art AoA estimation system in actual indoor environment.
