Extracting Human Context Through Receiver-End Beamforming

Sameera Palipana*, Stephan Sigg

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

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Abstract

Device-free passive sensing of the human targets using wireless signals have acquired much attention in the recent past because of its importance in many applications including security, heating, ventilation and air conditioning, activity recognition, and elderly care. In this paper, we use receiver-side beamforming to isolate the array response of a human target when the line of sight array response is several magnitudes stronger than the human response. The solution is implemented in a 5G testbed using a software-defined radio (SDR) platform. As beamforming with SDRs faces the challenge to train the beamformer to different azimuth angles, we present an algorithm to generate the steering vectors for all azimuth angles from a few training directions amidst imprecise prior information on the training steering vectors. We extract the direction of arrival (DoA) from the array response of the human target, and conducting experiments in a semi-anechoic chamber, we detect the DoAs of up to four stationary human targets and track the DoA of up to two walking persons simultaneously.

Original languageEnglish
Article number8856202
Pages (from-to)154535-154545
Number of pages11
JournalIEEE Access
Volume7
DOIs
Publication statusPublished - 2019
MoE publication typeA1 Journal article-refereed

Keywords

  • Pervasive computing
  • ubiquitous computing
  • information and communication technology
  • wireless access points
  • ambient assisted living
  • LOCATION

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  • Projects

    RadioSense: Wireless Big Data Augmented Smart Industry

    Palipana, S., Sigg, S., Naas, S., Raja, M., Zuo, S. & Kodali, M.

    01/01/201928/02/2022

    Project: Academy of Finland: Other research funding

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