Receiver-Side Beamforming to Isolate Channel Perturbations from a Human Target in a Device-Free Setting

Receiver-Side Beamforming to Isolate Channel Perturbations from a Human Target in a Device-Free Setting. Palipana, S. & Sigg, S. In Conference on Systems for Energy-Efficient Buildings, Cities and Transportation (Buildsys) (adjunct), 2019.
abstract bibtex

We present an approach to isolate the angular response of a human on a receiver-side beamformer when the line of sight is sevaral 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 from a few training points amidst imprecise prior information. In particular, we assign asimuth angles to steering vectors converted from phase rotations of signals transmitted from reference directions. 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 degree.

@InProceedings{Palipana_2019_buildsys,
author={Sameera Palipana and Stephan Sigg},
booktitle={Conference on Systems for Energy-Efficient Buildings, Cities and Transportation (Buildsys) (adjunct)},
title={Receiver-Side Beamforming to Isolate Channel Perturbations from a Human Target in a Device-Free Setting},
year={2019},
abstract={We present an approach to isolate the angular response of a human on a receiver-side beamformer when the line of sight is sevaral 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 from a few training points amidst imprecise prior information. 
In particular, we assign asimuth angles to steering vectors converted from phase rotations of signals transmitted from reference directions. 
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 degree.},
  project = {radiosense},
group = {ambience}
}

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