Extracting Human Context Through Receiver-End Beamforming

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Extracting Human Context Through Receiver-End Beamforming. / Palipana, Sameera; Sigg, Stephan.

julkaisussa: IEEE Access, Vuosikerta 7, 8856202, 2019, s. 154535-154545.

Tutkimustuotos: Lehtiartikkelivertaisarvioitu

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Bibtex - Lataa

@article{6b9a724088144a1c83de24d9b971252e,
title = "Extracting Human Context Through Receiver-End Beamforming",
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.",
keywords = "Pervasive computing, ubiquitous computing, information and communication technology, wireless access points, ambient assisted living, LOCATION",
author = "Sameera Palipana and Stephan Sigg",
year = "2019",
doi = "10.1109/ACCESS.2019.2945476",
language = "English",
volume = "7",
pages = "154535--154545",
journal = "IEEE Access",
issn = "2169-3536",

}

RIS - Lataa

TY - JOUR

T1 - Extracting Human Context Through Receiver-End Beamforming

AU - Palipana, Sameera

AU - Sigg, Stephan

PY - 2019

Y1 - 2019

N2 - 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.

AB - 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.

KW - Pervasive computing

KW - ubiquitous computing

KW - information and communication technology

KW - wireless access points

KW - ambient assisted living

KW - LOCATION

UR - http://www.scopus.com/inward/record.url?scp=85077808395&partnerID=8YFLogxK

U2 - 10.1109/ACCESS.2019.2945476

DO - 10.1109/ACCESS.2019.2945476

M3 - Article

AN - SCOPUS:85077808395

VL - 7

SP - 154535

EP - 154545

JO - IEEE Access

JF - IEEE Access

SN - 2169-3536

M1 - 8856202

ER -

ID: 40496561