Poster: Using Commodity WiFi Devices for Object Sensing and Imaging

Laxima Niure Kandel, Zhuosheng Zhang, Shucheng Yu

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

Object identification and imaging play an important role in many real-life applications such as robotics, automated vehicle networks and search and rescue operations in the aftermath of natural disasters. Existing traditional imaging systems require installing custom-built hardware and dedicated infrastructure which are expensive and not scalable. Also, they are not occlusion immune. With the pervasive and wide availability of WiFi infrastructure, in this project, we explore the possibility of seeing the world through the low-priced commodity WiFi devices by exploiting multipath reflections. WiFi-based solutions are promising due to their ubiquity and low cost. And unlike optical and infrared signals, WiFi can 'see-through' walls, clothes and fabrics. We prototyped a 6times 6 -antenna planar array using commodity Intel NUCs and used 4 different objects for creating an image using a 2D Fourier transform. Our initial results using commercial off-the-shelf (COTS) hardware show promising results in the Line of Sight (LOS) environment.

Original languageEnglish
Title of host publication2019 IEEE International Symposium on Dynamic Spectrum Access Networks, DySPAN 2019
ISBN (Electronic)9781728123769
DOIs
StatePublished - Nov 2019
Event2019 IEEE International Symposium on Dynamic Spectrum Access Networks, DySPAN 2019 - Newark, United States
Duration: 11 Nov 201914 Nov 2019

Publication series

Name2019 IEEE International Symposium on Dynamic Spectrum Access Networks, DySPAN 2019

Conference

Conference2019 IEEE International Symposium on Dynamic Spectrum Access Networks, DySPAN 2019
Country/TerritoryUnited States
CityNewark
Period11/11/1914/11/19

Keywords

  • Channel State Information (CSI)
  • WiFi imaging
  • multipath suppression

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