Persistent homology approach for human presence detection from 60 GHz OTFS transmissions
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F23%3APU147122" target="_blank" >RIV/00216305:26220/23:PU147122 - isvavai.cz</a>
Result on the web
<a href="https://www.mdpi.com/1424-8220/23/4/2224" target="_blank" >https://www.mdpi.com/1424-8220/23/4/2224</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3390/s23042224" target="_blank" >10.3390/s23042224</a>
Alternative languages
Result language
angličtina
Original language name
Persistent homology approach for human presence detection from 60 GHz OTFS transmissions
Original language description
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.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
20202 - Communication engineering and systems
Result continuities
Project
<a href="/en/project/VJ01030008" target="_blank" >VJ01030008: Passive crowd monitoring system with privacy by design</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
SENSORS
ISSN
1424-8220
e-ISSN
1424-3210
Volume of the periodical
23
Issue of the periodical within the volume
4
Country of publishing house
CH - SWITZERLAND
Number of pages
17
Pages from-to
1-17
UT code for WoS article
000941466500001
EID of the result in the Scopus database
2-s2.0-85148973894