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WiHlo: A Case Study of WiFi-Based Human Passive Localization by Angle Refinement

  • Zengshan Tian
  • Weiqin YangEmail author
  • Yue Jin
  • Gongzhui Zhang
Conference paper
  • 122 Downloads
Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 313)

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.

Keywords

WiFi Passive localization AoA 

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Copyright information

© ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2020

Authors and Affiliations

  • Zengshan Tian
    • 1
  • Weiqin Yang
    • 1
    Email author
  • Yue Jin
    • 1
  • Gongzhui Zhang
    • 1
  1. 1.School of Communication and Information EngineeringChongqing University of Posts and TelecommunicationsChongqingChina

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