Joint Vital Signs and Position Estimation of Multiple Persons Using SIMO Radar
Respiration rate monitoring using ultra-wideband (UWB) radar is preferred because it provides contactless measurement without restricting the person’s privacy. This study considers a novel non-contact-based solution using a single-input multiple-output (SIMO) UWB impulse radar. In the proposed syste...
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| Veröffentlicht in: | Electronics (Basel) 2021-11, Vol.10 (22), p.2805 |
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| creator | Kakouche, Ibrahim Abadlia, Hamza El Korso, Mohammed Nabil Mesloub, Ammar Maali, Abdelmadjid Azzaz, Mohamed Salah |
| description | Respiration rate monitoring using ultra-wideband (UWB) radar is preferred because it provides contactless measurement without restricting the person’s privacy. This study considers a novel non-contact-based solution using a single-input multiple-output (SIMO) UWB impulse radar. In the proposed system, the collected radar data are converted to several narrow-band signals using the generalized Goertzel algorithm (GGA), which are used as the input of the designed phased arrays for position estimation. In this context, we introduce the incoherent signal subspace methods (ISSM) for the direction of arrivals (DOAs) and distance evaluation. Meanwhile, a beam focusing approach is used to determine each individual and estimate their breathing rate automatically based on a linearly constrained minimum variance (LCMV) beamformer. The experimental results prove that the proposed algorithm can achieve high estimation accuracy in a variety of test environments, with an error of 2%, 5%, and 2% for DOA, distance, and respiration rate, respectively. |
| doi_str_mv | 10.3390/electronics10222805 |
| format | Article |
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This study considers a novel non-contact-based solution using a single-input multiple-output (SIMO) UWB impulse radar. In the proposed system, the collected radar data are converted to several narrow-band signals using the generalized Goertzel algorithm (GGA), which are used as the input of the designed phased arrays for position estimation. In this context, we introduce the incoherent signal subspace methods (ISSM) for the direction of arrivals (DOAs) and distance evaluation. Meanwhile, a beam focusing approach is used to determine each individual and estimate their breathing rate automatically based on a linearly constrained minimum variance (LCMV) beamformer. The experimental results prove that the proposed algorithm can achieve high estimation accuracy in a variety of test environments, with an error of 2%, 5%, and 2% for DOA, distance, and respiration rate, respectively.</description><identifier>ISSN: 2079-9292</identifier><identifier>EISSN: 2079-9292</identifier><identifier>DOI: 10.3390/electronics10222805</identifier><language>eng</language><publisher>Basel: MDPI AG</publisher><subject>Algorithms ; Antennas ; Bioengineering ; Engineering Sciences ; Fourier transforms ; Human subjects ; Life Sciences ; Mathematical models ; Noise ; Phased arrays ; Radar data ; Radar systems ; Receivers & amplifiers ; Respiration ; Signal and Image processing ; Signal processing ; Subspace methods ; Ultrawideband radar</subject><ispartof>Electronics (Basel), 2021-11, Vol.10 (22), p.2805</ispartof><rights>2021 by the authors. Licensee MDPI, Basel, Switzerland. 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| source | Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; MDPI - Multidisciplinary Digital Publishing Institute |
| subjects | Algorithms Antennas Bioengineering Engineering Sciences Fourier transforms Human subjects Life Sciences Mathematical models Noise Phased arrays Radar data Radar systems Receivers & amplifiers Respiration Signal and Image processing Signal processing Subspace methods Ultrawideband radar |
| title | Joint Vital Signs and Position Estimation of Multiple Persons Using SIMO Radar |
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