Persistent Homology Approach for Human Presence Detection from 60 GHz OTFS Transmissions
Orthogonal Time Frequency Space (OTFS) is a new, promising modulation waveform candidate for the next-generation integrated sensing and communication (ISaC) systems, providing environment-awareness capabilities together with high-speed wireless data communications. This paper presents the original r...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-02-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/23/4/2224 |
| _version_ | 1797618214916587520 |
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| author | Roman Maršálek Radim Zedka Erich Zöchmann Josef Vychodil Radek Závorka Golsa Ghiaasi Jiří Blumenstein |
| author_facet | Roman Maršálek Radim Zedka Erich Zöchmann Josef Vychodil Radek Závorka Golsa Ghiaasi Jiří Blumenstein |
| author_sort | Roman Maršálek |
| collection | DOAJ |
| description | Orthogonal Time Frequency Space (OTFS) is a new, promising modulation waveform candidate for the next-generation integrated sensing and communication (ISaC) systems, providing environment-awareness capabilities together with high-speed wireless data communications. This paper presents the 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 gathered delay-Doppler responses. We highlight the advantages of the persistent homology approach over the standard constant false alarm rate target detector for selected scenarios. |
| first_indexed | 2024-03-11T08:10:00Z |
| format | Article |
| id | doaj.art-8c78f5a13c55473794107ff77941efd9 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-11T08:10:00Z |
| publishDate | 2023-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-8c78f5a13c55473794107ff77941efd92023-11-16T23:11:55ZengMDPI AGSensors1424-82202023-02-01234222410.3390/s23042224Persistent Homology Approach for Human Presence Detection from 60 GHz OTFS TransmissionsRoman Maršálek0Radim Zedka1Erich Zöchmann2Josef Vychodil3Radek Závorka4Golsa Ghiaasi5Jiří Blumenstein6Department of Radio Electronics, Brno University of Technology, 601 90 Brno, Czech RepublicDepartment of Radio Electronics, Brno University of Technology, 601 90 Brno, Czech RepublicDepartment of Radio Electronics, Brno University of Technology, 601 90 Brno, Czech RepublicDepartment of Radio Electronics, Brno University of Technology, 601 90 Brno, Czech RepublicDepartment of Radio Electronics, Brno University of Technology, 601 90 Brno, Czech RepublicDepartment of Radio Electronics, Brno University of Technology, 601 90 Brno, Czech RepublicDepartment of Radio Electronics, Brno University of Technology, 601 90 Brno, Czech RepublicOrthogonal Time Frequency Space (OTFS) is a new, promising modulation waveform candidate for the next-generation integrated sensing and communication (ISaC) systems, providing environment-awareness capabilities together with high-speed wireless data communications. This paper presents the 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 gathered delay-Doppler responses. We highlight the advantages of the persistent homology approach over the standard constant false alarm rate target detector for selected scenarios.https://www.mdpi.com/1424-8220/23/4/2224OTFSmillimeter-wavespersistent homologyCFARperson detection |
| spellingShingle | Roman Maršálek Radim Zedka Erich Zöchmann Josef Vychodil Radek Závorka Golsa Ghiaasi Jiří Blumenstein Persistent Homology Approach for Human Presence Detection from 60 GHz OTFS Transmissions Sensors OTFS millimeter-waves persistent homology CFAR person detection |
| title | Persistent Homology Approach for Human Presence Detection from 60 GHz OTFS Transmissions |
| title_full | Persistent Homology Approach for Human Presence Detection from 60 GHz OTFS Transmissions |
| title_fullStr | Persistent Homology Approach for Human Presence Detection from 60 GHz OTFS Transmissions |
| title_full_unstemmed | Persistent Homology Approach for Human Presence Detection from 60 GHz OTFS Transmissions |
| title_short | Persistent Homology Approach for Human Presence Detection from 60 GHz OTFS Transmissions |
| title_sort | persistent homology approach for human presence detection from 60 ghz otfs transmissions |
| topic | OTFS millimeter-waves persistent homology CFAR person detection |
| url | https://www.mdpi.com/1424-8220/23/4/2224 |
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