Searching for Survivors through Random Human-Body Movement Outdoors by Continuous-Wave Radar Array

Li, Chuantao; Chen, Fuming; Qi, Fugui; Liu, Miao; Zhao, Li; Liang, Fuyuan; Jing, Xijing; Lü, Guohua; Wang, Jianqi

doi:10.1371/journal.pone.0152201

Cited by 12 publications

(7 citation statements)

References 16 publications

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“…Methods for obtaining the information can be divided into contact and noncontact measurements. Compared with traditional methods, radar, as a noncontact measurement method, has been implemented in several significant applications as this approach can improve the quality of life of subjects and reduce the impact of measuring devices on testers [6]- [8]. Therefore, radar technology has been used to monitor sudden infant death syndrome, which is the third The associate editor coordinating the review of this manuscript and approving it for publication was Berdakh Abibullaev .…”

Section: Introductionmentioning

confidence: 99%

Noncontact Heart Rate Measurement Based on an Improved Convolutional Sparse Coding Method Using IR-UWB Radar

Wang¹,

Qi²,

Liu³

et al. 2019

IEEE Access

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Impulse radio ultrawideband radar is a critical remote sensing tool for life detection and noncontact monitoring of vital signals. In noncontact monitoring via radar, the disturbance from respiration and environmental noise is considered critical for the estimation of heart rates. However, the heartbeat signal is generally distorted by breath harmonics and fluctuations in the time domain, and the frequencies of the vital signals are closely situated; thus, it is difficult to employ an ordinary frequency filter for separation. To solve this problem, a novel method was developed to extract heartbeat information. In this study, convolutional sparse coding, which is an unsupervised machine learning algorithm, was first used to model the heartbeat signal in the time domain, given the respiration and relative artifacts. The proposed scheme was then used to decompose the time-domain signals and directly obtain the heartbeat component by exploiting the sparsity of the heartbeat signal in the time domain. Furthermore, the performance of the proposed scheme was improved using a noise-assisted method, and the process was accelerated by learning from the K-singular value decomposition strategy. Finally, by testing the vital sign signals collected from the finite differences time-domain simulation and experiments, the results obtained indicate that the proposed approach is effective for the extraction of low-amplitude heartbeat signals from the respiration signal, and that it significantly improves the accuracy of heart rate evaluation.INDEX TERMS Convolutional sparse coding, heart rate, finite-difference time-domain, respiration rate, ultrawideband radar, noise-assisted method.

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Section: Introductionmentioning

confidence: 99%

Noncontact Heart Rate Measurement Based on an Improved Convolutional Sparse Coding Method Using IR-UWB Radar

Wang¹,

Qi²,

Liu³

et al. 2019

IEEE Access

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“…Impulse ultra-wideband (UWB) radar has been widely applied to track moving targets, through-wall imaging and son on due to its excellent time resolution and strong permeability [6][7][8][9][10][11][12][13]. However, extensive researches on life sign detection need to be made based on UWB radar [14][15][16][17][18][19][20][21][22]. In [14], a contactless human subject monitoring system is designed using a Doppler radar based on a four-tiered layer structure.…”

Section: Introductionmentioning

confidence: 99%

“…In [14], a contactless human subject monitoring system is designed using a Doppler radar based on a four-tiered layer structure. An omnidirectional detection system is designed and analyzed utilizing an antenna array technique [17]. The capability of the frequency modulated continuous wave (FMCW) radar for human respiratory signals detection is proven continuously and timely [19].…”

Section: Introductionmentioning

confidence: 99%

Detection of Breathing Rates in Through-wall UWB Radar Utilizing JTFA

2019

KSII TIIS

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Through-wall ultra-wide band (UWB) radar has been considered as one of the preferred and non-contact technologies for the targets detection owing to the better time resolution and stronger penetration. The high time resolution is a result of a larger of bandwidth of the employed UWB pulses from the radar system, which is a useful tool to separate multiple targets in complex environment. The article emphasised on human subject localization and detection. Human subject usually can be detected via extracting the weak respiratory signals of human subjects remotely. Meanwhile, the range between the detection object and radar is also acquired from the 2D range-frequency matrix. However, it is a challenging task to extract human respiratory signals owing to the low signal to clutter ratio. To improve the feasibility of human respiratory signals detection, a new method is developed via analysing the standard deviation based kurtosis of the collected pulses, which are modulated by human respiratory movements in slow time. The range between radar and the detection target is estimated using joint time-frequency analysis (JTFA) of the analysed characteristics, which provides a novel preliminary signature for life detection. The breathing rates are obtained using the proposed accumulation method in time and frequency domain, respectively. The proposed method is validated and proved numerically and experimentally.

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“…According to the radar architecture used, there are four typical types: continuous-wave (CW) radar [7,8], frequency-modulated continuous-wave (FMCW) radar [9,10], stepped-frequency continuous-wave (SFCW) radar [11,12] and impulse-radio ultra-wideband (IR-UWB) radar [13,14]. Single-tone continuous wave is also called Doppler radar or interferometry radar, and it has high receiving sensitivity, high measurement accuracy, simple structure, low cost and relatively easy post-processing [15].…”

Section: Introductionmentioning

confidence: 99%

Simultaneous Life Detection and Localization Using a Wideband Chaotic Signal with an Embedded Tone

Liu

Guo

et al. 2016

Sensors

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A hybrid life detection radar system which transmits a wideband chaotic signal containing an embedded single-tone is proposed. The chaotic signal is used for target localization by the time-domain correlation method and synthetic aperture technique, and the single-tone signal is used to measure the frequencies of breathing and heartbeat based on an on-chip split-ring integrated sensor and Michelson interference principle. Experimental results in free space and in through-wall scenarios demonstrate that the system can realize human detection and localization simultaneously with high range resolution, high sensitivity, and large dynamic range without complex signal processing. The range resolution is about 10 cm, and the dynamic range is 35 dB for the respiration signal detection and 25 dB for the heartbeat signal detection. Due to its good immunity to interference/jamming and high spectrum efficiency, the proposed system is suitable for post-disaster rescue, elder/infant/patient vitality monitoring, and anti-terrorism enforcement applications.

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Searching for Survivors through Random Human-Body Movement Outdoors by Continuous-Wave Radar Array

Cited by 12 publications

References 16 publications

Noncontact Heart Rate Measurement Based on an Improved Convolutional Sparse Coding Method Using IR-UWB Radar

Noncontact Heart Rate Measurement Based on an Improved Convolutional Sparse Coding Method Using IR-UWB Radar

Detection of Breathing Rates in Through-wall UWB Radar Utilizing JTFA

Simultaneous Life Detection and Localization Using a Wideband Chaotic Signal with an Embedded Tone

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