Receiver-side beamforming to isolate channel perturbations from a human target in a device-free setting

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Abstract

We present an approach to isolate the angular response of a human on a receiver-side beamformer when the line of sight is several magnitudes stronger than the human response. The solution is implemented in a 5G testbed using a software-defined radio (SDR) platform. 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 points amidst imprecise prior information. Furthermore, we detect a human and estimate the direction from strong signal perturbations towards that angle. Experiments for a person performing in-place activities in a semi-Anechoic chamber show a detection accuracy of 100% and a maximum median direction of arrival error of 40.

Details

Original languageEnglish
Title of host publicationDFHS 2019 - Proceedings of the 1st ACM Workshop on Device-Free Human Sensing
Publication statusPublished - 10 Nov 2019
MoE publication typeA4 Article in a conference publication
EventACM Workshop on Device-Free Human Sensing - New York, United States
Duration: 10 Nov 201910 Nov 2019
Conference number: 1

Workshop

WorkshopACM Workshop on Device-Free Human Sensing
Abbreviated titleDFHS
CountryUnited States
CityNew York
Period10/11/201910/11/2019

    Research areas

  • 5G, Beamforming, Device-free, Human sensing

ID: 40177704