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Frequency Comb-Based Ground-Penetrating Bioradar: System Implementation and Signal Processing
Radars can be used as sensors to detect the breathing of victims trapped under layers of building materials in catastrophes like earthquakes or gas explosions. In this contribution, we present the implementation of a novel frequency comb continuous wave (FCCW) bioradar module using a commercial soft...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9921065/ https://www.ncbi.nlm.nih.gov/pubmed/36772374 http://dx.doi.org/10.3390/s23031335 |
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author | Shi, Di Gidion, Gunnar Aftab, Taimur Reindl, Leonhard M. Rupitsch, Stefan J. |
author_facet | Shi, Di Gidion, Gunnar Aftab, Taimur Reindl, Leonhard M. Rupitsch, Stefan J. |
author_sort | Shi, Di |
collection | PubMed |
description | Radars can be used as sensors to detect the breathing of victims trapped under layers of building materials in catastrophes like earthquakes or gas explosions. In this contribution, we present the implementation of a novel frequency comb continuous wave (FCCW) bioradar module using a commercial software-defined radio (SDR). The FCCW radar transmits multiple equally spaced frequency components simultaneously. The data acquisition of the received combs is frequency domain-based. Hence, it does not require synchronization between the transmit and receive channels, as time domain-based broadband radars, such as ultra wideband (UWB) pulse radar and frequency-modulated CW (FMCW) radar, do. Since a frequency comb has an instantaneous wide bandwidth, the effective scan rate is much higher than that of a step frequency CW (SFCW) radar. This FCCW radar is particularly suitable for small motion detection. Using inverse fast Fourier transform (IFFT), we can decompose the received frequency comb into different ranges and remove ghost signals and interference of further range intervals. The frequency comb we use in this report has a bandwidth of only 60 MHz, resulting in a range resolution of up to 2.5 m, much larger than respiration-induced chest wall motions. However, we demonstrate that in the centimeter range, motions can be detected and evaluated by processing the received comb signals. We want to integrate the bioradar into an unmanned aircraft system for fast and safe search and rescue operations. As a trade-off between ground penetrability and the size and weight of the antenna and the radar module, we use 1.3 GHz as the center frequency. Field measurements show that the proposed FCCW bioradar can detect an alive person through different nonmetallic building materials. |
format | Online Article Text |
id | pubmed-9921065 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-99210652023-02-12 Frequency Comb-Based Ground-Penetrating Bioradar: System Implementation and Signal Processing Shi, Di Gidion, Gunnar Aftab, Taimur Reindl, Leonhard M. Rupitsch, Stefan J. Sensors (Basel) Article Radars can be used as sensors to detect the breathing of victims trapped under layers of building materials in catastrophes like earthquakes or gas explosions. In this contribution, we present the implementation of a novel frequency comb continuous wave (FCCW) bioradar module using a commercial software-defined radio (SDR). The FCCW radar transmits multiple equally spaced frequency components simultaneously. The data acquisition of the received combs is frequency domain-based. Hence, it does not require synchronization between the transmit and receive channels, as time domain-based broadband radars, such as ultra wideband (UWB) pulse radar and frequency-modulated CW (FMCW) radar, do. Since a frequency comb has an instantaneous wide bandwidth, the effective scan rate is much higher than that of a step frequency CW (SFCW) radar. This FCCW radar is particularly suitable for small motion detection. Using inverse fast Fourier transform (IFFT), we can decompose the received frequency comb into different ranges and remove ghost signals and interference of further range intervals. The frequency comb we use in this report has a bandwidth of only 60 MHz, resulting in a range resolution of up to 2.5 m, much larger than respiration-induced chest wall motions. However, we demonstrate that in the centimeter range, motions can be detected and evaluated by processing the received comb signals. We want to integrate the bioradar into an unmanned aircraft system for fast and safe search and rescue operations. As a trade-off between ground penetrability and the size and weight of the antenna and the radar module, we use 1.3 GHz as the center frequency. Field measurements show that the proposed FCCW bioradar can detect an alive person through different nonmetallic building materials. MDPI 2023-01-25 /pmc/articles/PMC9921065/ /pubmed/36772374 http://dx.doi.org/10.3390/s23031335 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Shi, Di Gidion, Gunnar Aftab, Taimur Reindl, Leonhard M. Rupitsch, Stefan J. Frequency Comb-Based Ground-Penetrating Bioradar: System Implementation and Signal Processing |
title | Frequency Comb-Based Ground-Penetrating Bioradar: System Implementation and Signal Processing |
title_full | Frequency Comb-Based Ground-Penetrating Bioradar: System Implementation and Signal Processing |
title_fullStr | Frequency Comb-Based Ground-Penetrating Bioradar: System Implementation and Signal Processing |
title_full_unstemmed | Frequency Comb-Based Ground-Penetrating Bioradar: System Implementation and Signal Processing |
title_short | Frequency Comb-Based Ground-Penetrating Bioradar: System Implementation and Signal Processing |
title_sort | frequency comb-based ground-penetrating bioradar: system implementation and signal processing |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9921065/ https://www.ncbi.nlm.nih.gov/pubmed/36772374 http://dx.doi.org/10.3390/s23031335 |
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