Measurement-Based Feasibility Exploration on Detecting and Localizing Multiple Humans Using MIMO Radio Channel Properties

This paper explores the feasibility of using the multiple-input multiple-output (MIMO) radio channel properties to passively detect and localize multiple humans in indoor environments. We propose to utilize the unique reverberation characteristics of indoor channels for the purpose of detecting, and...

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Main Authors: Yang Miao, Emmeric Tanghe, Jun-Ichi Takada, Troels Pedersen, Pierre Laly, Davy P. Gaillot, Martine Lienard, Luc Martens, Wout Joseph
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/8944054/
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spelling doaj-edb200e7d6174dd593c624a93e78b8e42021-03-30T01:11:23ZengIEEEIEEE Access2169-35362020-01-0183738375010.1109/ACCESS.2019.29627268944054Measurement-Based Feasibility Exploration on Detecting and Localizing Multiple Humans Using MIMO Radio Channel PropertiesYang Miao0https://orcid.org/0000-0003-4007-7478Emmeric Tanghe1https://orcid.org/0000-0003-0020-6466Jun-Ichi Takada2https://orcid.org/0000-0002-9108-3010Troels Pedersen3https://orcid.org/0000-0002-3003-4901Pierre Laly4https://orcid.org/0000-0002-4601-6281Davy P. Gaillot5https://orcid.org/0000-0003-3455-5824Martine Lienard6https://orcid.org/0000-0002-3236-3813Luc Martens7https://orcid.org/0000-0001-9948-9157Wout Joseph8https://orcid.org/0000-0002-8807-0673Radio System Research Group, Telecommunication Engineering, Faculty of Electrical Engineering, Mathematics and Computer Science, University of Twente, Enschede, NB, The NetherlandsGhent University–IMEC-WAVES, Gent, BelgiumDepartment of Transdisciplinary Science and Engineering, Tokyo Institute of Technology, Tokyo, JapanDepartment of Electronic Systems, Aalborg University, Aalborg East, DenmarkLille University–TELICE, Lille, FranceLille University–TELICE, Lille, FranceLille University–TELICE, Lille, FranceGhent University–IMEC-WAVES, Gent, BelgiumGhent University–IMEC-WAVES, Gent, BelgiumThis paper explores the feasibility of using the multiple-input multiple-output (MIMO) radio channel properties to passively detect and localize multiple humans in indoor environments. We propose to utilize the unique reverberation characteristics of indoor channels for the purpose of detecting, and the power angular delay profile (PADP) for localizing humans. On the one hand, the reverberation time corresponds with the decay rate of multipath in a closed or partially closed cavity, and varies with the change of the number of humans or the moving of humans relative to the antennas at link ends. On the other hand, the PADP is proposed to be calculated by the Multiple Signal Classification (MUSIC) super resolution algorithm with frequency smoothing preprocessing. The proposed approach is evaluated based on real-world MIMO radio channel measurements obtained from a meeting room. Measurements with and without the presence of humans have been conducted, where the maximum number of humans considered is four. Humans facing different directions, either in parallel or orthogonal to the direct line between the transmit and the receive antennas have been taken into account. In term of the detection feasibility, it is found that the change of the number of humans as well as the change of their facing/moving directions inside the partial reverberant region can be reflected on the change of the reverberation time estimated from the power delay profile of channel. In term of the localization feasibility, it is found that single human location can be well associated to the peak of the variation of the PADP during his/her movement, while multiple humans' movements result in obvious power variation in the very vicinity of some of them, and also in the vicinity of some background objects that is far from target humans.https://ieeexplore.ieee.org/document/8944054/Indoor radio channelMIMOreverberation timepower delay angular profilepassive detection and localization of humans
collection DOAJ
language English
format Article
sources DOAJ
author Yang Miao
Emmeric Tanghe
Jun-Ichi Takada
Troels Pedersen
Pierre Laly
Davy P. Gaillot
Martine Lienard
Luc Martens
Wout Joseph
spellingShingle Yang Miao
Emmeric Tanghe
Jun-Ichi Takada
Troels Pedersen
Pierre Laly
Davy P. Gaillot
Martine Lienard
Luc Martens
Wout Joseph
Measurement-Based Feasibility Exploration on Detecting and Localizing Multiple Humans Using MIMO Radio Channel Properties
IEEE Access
Indoor radio channel
MIMO
reverberation time
power delay angular profile
passive detection and localization of humans
author_facet Yang Miao
Emmeric Tanghe
Jun-Ichi Takada
Troels Pedersen
Pierre Laly
Davy P. Gaillot
Martine Lienard
Luc Martens
Wout Joseph
author_sort Yang Miao
title Measurement-Based Feasibility Exploration on Detecting and Localizing Multiple Humans Using MIMO Radio Channel Properties
title_short Measurement-Based Feasibility Exploration on Detecting and Localizing Multiple Humans Using MIMO Radio Channel Properties
title_full Measurement-Based Feasibility Exploration on Detecting and Localizing Multiple Humans Using MIMO Radio Channel Properties
title_fullStr Measurement-Based Feasibility Exploration on Detecting and Localizing Multiple Humans Using MIMO Radio Channel Properties
title_full_unstemmed Measurement-Based Feasibility Exploration on Detecting and Localizing Multiple Humans Using MIMO Radio Channel Properties
title_sort measurement-based feasibility exploration on detecting and localizing multiple humans using mimo radio channel properties
publisher IEEE
series IEEE Access
issn 2169-3536
publishDate 2020-01-01
description This paper explores the feasibility of using the multiple-input multiple-output (MIMO) radio channel properties to passively detect and localize multiple humans in indoor environments. We propose to utilize the unique reverberation characteristics of indoor channels for the purpose of detecting, and the power angular delay profile (PADP) for localizing humans. On the one hand, the reverberation time corresponds with the decay rate of multipath in a closed or partially closed cavity, and varies with the change of the number of humans or the moving of humans relative to the antennas at link ends. On the other hand, the PADP is proposed to be calculated by the Multiple Signal Classification (MUSIC) super resolution algorithm with frequency smoothing preprocessing. The proposed approach is evaluated based on real-world MIMO radio channel measurements obtained from a meeting room. Measurements with and without the presence of humans have been conducted, where the maximum number of humans considered is four. Humans facing different directions, either in parallel or orthogonal to the direct line between the transmit and the receive antennas have been taken into account. In term of the detection feasibility, it is found that the change of the number of humans as well as the change of their facing/moving directions inside the partial reverberant region can be reflected on the change of the reverberation time estimated from the power delay profile of channel. In term of the localization feasibility, it is found that single human location can be well associated to the peak of the variation of the PADP during his/her movement, while multiple humans' movements result in obvious power variation in the very vicinity of some of them, and also in the vicinity of some background objects that is far from target humans.
topic Indoor radio channel
MIMO
reverberation time
power delay angular profile
passive detection and localization of humans
url https://ieeexplore.ieee.org/document/8944054/
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