Result Details

Persistent homology approach for human presence detection from 60 GHz OTFS transmissions

MARŠÁLEK, R.; ZEDKA, R.; ZÖCHMANN, E.; VYCHODIL, J.; ZÁVORKA, R.; GHIAASI HAFEZI, G.; BLUMENSTEIN, J. Persistent homology approach for human presence detection from 60 GHz OTFS transmissions. SENSORS, 2023, vol. 23, no. 4, p. 1-17. ISSN: 1424-8220.
Type
journal article
Language
English
Authors
Maršálek Roman, prof. Ing., Ph.D., UREL (FEEC)
Zedka Radim, Ing., Ph.D.
Zöchmann Erich, Dr.techn. Ing.
Vychodil Josef, Ing., Ph.D., UREL (FEEC)
Závorka Radek, Ing., UREL (FEEC)
Ghiaasi Hafezi Golsa, Ph.D.
Blumenstein Jiří, doc. Ing., Ph.D., UREL (FEEC)
Abstract

Orthogonal Time Frequency Space (OTFS) is a new, promising modulation waveform candidate for the next generation integrated sensing and communication (ISAC) systems, providing the environment-awareness capabilities together with high speed wireless data communications. This paper presents original results of OTFS-based person monitoring measurements in the 60 GHz millimeter-wave frequency band under realistic conditions, without the assumption of an integer ratio between the actual delays and Doppler shifts of the reflected components and the corresponding resolution of the OTFS grid. As the main contribution of the paper, we propose the use of the persistent homology technique as a method for processing of gathered delay-Doppler responses. We highlight the advantages of persistence homology approach over the standard constant false alarm rate target detector for selected scenarios.

Keywords

OTFS; millimeter-waves; persistent homology; CFAR; person detection

URL
Published
2023
Pages
1–17
Journal
SENSORS, vol. 23, no. 4, ISSN 1424-8220
Publisher
MDPI
DOI
UT WoS
000941466500001
EID Scopus
BibTeX
@article{BUT181670,
  author="Roman {Maršálek} and Radim {Zedka} and Erich {Zöchmann} and Josef {Vychodil} and Radek {Závorka} and Golsa {Ghiaasi Hafezi} and Jiří {Blumenstein}",
  title="Persistent homology approach for human presence detection from 60 GHz OTFS transmissions",
  journal="SENSORS",
  year="2023",
  volume="23",
  number="4",
  pages="1--17",
  doi="10.3390/s23042224",
  url="https://www.mdpi.com/1424-8220/23/4/2224"
}
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