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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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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