Contact-Free Pedestrian Tracking Using Massive MIMO-OFDM Communication System

Chenglong Li; Sibren De Bast; Yang Miao; Emmeric Tanghe; Sofie Pollin; Wout Joseph

doi:10.23919/EuRAD54643.2022.9924658

Contact-Free Pedestrian Tracking Using Massive MIMO-OFDM Communication System

Chenglong Li
, Sibren De Bast
, Yang Miao
, Emmeric Tanghe
, Sofie Pollin
, Wout Joseph

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

5 Citations (Scopus)

173 Downloads (Pure)

Abstract

This paper establishes an indoor distributed radar-like prototype using a sub-6 GHz massive multiple-input multiple-output (MIMO) communication system. Based on the prototype, the contact-free human tracking performance is experimentally evaluated. Instead of extracting the location related geometrical metrics (angle and distance), we propose to localize the pedestrian through the channel state information (CSI) directly. Inspired by the concept of synthetic aperture, a particle filter-based hologram tracking algorithm is proposed. The experimental results show that the proposed algorithm can achieve 20.1-cm mean tracking accuracy in real-time.

Original language	English
Title of host publication	2022 19th European Radar Conference, EuRAD 2022
Place of Publication	Piscataway, NJ
Publisher	IEEE
Pages	181-184
Number of pages	4
ISBN (Electronic)	978-2-8748-7071-2
ISBN (Print)	978-1-6654-5879-5
DOIs	https://doi.org/10.23919/EuRAD54643.2022.9924658
Publication status	Published - 25 Oct 2022
Event	19th European Radar Conference, EuRAD 2022 - MiCo, Milan, Italy Duration: 25 Sept 2022 → 30 Sept 2022 Conference number: 19

Conference

Conference	19th European Radar Conference, EuRAD 2022
Abbreviated title	EuRAD 2022
Country/Territory	Italy
City	Milan
Period	25/09/22 → 30/09/22

Keywords

2024 OA procedure
indoor localization
Massive multiple-input multiple-output
synthetic aperture radar
wireless sensing
channel state information

Access to Document

10.23919/EuRAD54643.2022.9924658

ArticleFinal published version, 2.31 MBLicence: Taverne

Cite this

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title = "Contact-Free Pedestrian Tracking Using Massive MIMO-OFDM Communication System",

abstract = "This paper establishes an indoor distributed radar-like prototype using a sub-6 GHz massive multiple-input multiple-output (MIMO) communication system. Based on the prototype, the contact-free human tracking performance is experimentally evaluated. Instead of extracting the location related geometrical metrics (angle and distance), we propose to localize the pedestrian through the channel state information (CSI) directly. Inspired by the concept of synthetic aperture, a particle filter-based hologram tracking algorithm is proposed. The experimental results show that the proposed algorithm can achieve 20.1-cm mean tracking accuracy in real-time.",

keywords = "2024 OA procedure, indoor localization, Massive multiple-input multiple-output, synthetic aperture radar, wireless sensing, channel state information",

author = "Chenglong Li and \{De Bast\}, Sibren and Yang Miao and Emmeric Tanghe and Sofie Pollin and Wout Joseph",

note = "Publisher Copyright: {\textcopyright} 2022 European Microwave Association (EuMA).; 19th European Radar Conference, EuRAD 2022, EuRAD 2022 ; Conference date: 25-09-2022 Through 30-09-2022",

year = "2022",

month = oct,

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doi = "10.23919/EuRAD54643.2022.9924658",

language = "English",

isbn = "978-1-6654-5879-5",

pages = "181--184",

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}

TY - GEN

T1 - Contact-Free Pedestrian Tracking Using Massive MIMO-OFDM Communication System

AU - Li, Chenglong

AU - De Bast, Sibren

AU - Miao, Yang

AU - Tanghe, Emmeric

AU - Pollin, Sofie

AU - Joseph, Wout

N1 - Conference code: 19

PY - 2022/10/25

Y1 - 2022/10/25

N2 - This paper establishes an indoor distributed radar-like prototype using a sub-6 GHz massive multiple-input multiple-output (MIMO) communication system. Based on the prototype, the contact-free human tracking performance is experimentally evaluated. Instead of extracting the location related geometrical metrics (angle and distance), we propose to localize the pedestrian through the channel state information (CSI) directly. Inspired by the concept of synthetic aperture, a particle filter-based hologram tracking algorithm is proposed. The experimental results show that the proposed algorithm can achieve 20.1-cm mean tracking accuracy in real-time.

AB - This paper establishes an indoor distributed radar-like prototype using a sub-6 GHz massive multiple-input multiple-output (MIMO) communication system. Based on the prototype, the contact-free human tracking performance is experimentally evaluated. Instead of extracting the location related geometrical metrics (angle and distance), we propose to localize the pedestrian through the channel state information (CSI) directly. Inspired by the concept of synthetic aperture, a particle filter-based hologram tracking algorithm is proposed. The experimental results show that the proposed algorithm can achieve 20.1-cm mean tracking accuracy in real-time.

KW - 2024 OA procedure

KW - indoor localization

KW - Massive multiple-input multiple-output

KW - synthetic aperture radar

KW - wireless sensing

KW - channel state information

UR - https://www.scopus.com/pages/publications/85141935279

U2 - 10.23919/EuRAD54643.2022.9924658

DO - 10.23919/EuRAD54643.2022.9924658

M3 - Conference contribution

AN - SCOPUS:85141935279

SN - 978-1-6654-5879-5

SP - 181

EP - 184

BT - 2022 19th European Radar Conference, EuRAD 2022

PB - IEEE

CY - Piscataway, NJ

T2 - 19th European Radar Conference, EuRAD 2022

Y2 - 25 September 2022 through 30 September 2022

ER -

Contact-Free Pedestrian Tracking Using Massive MIMO-OFDM Communication System

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