Numerical simulation of UWB impulse radar vital sign detection at an earthquake disaster site

Liu, Lanbo; Liu, Zijian; Xie, Hao; Barrowes, Benjamin E.; Bagtzoglou, Amvrossios C.

doi:10.1016/j.adhoc.2012.08.006

Cited by 38 publications

(21 citation statements)

References 10 publications

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“…Ifτ corresponds to the maximum amplitude index, then the estimated range is To improve the accuracy of the range estimate given by (23), a frequency accumulator is employed to eliminate the harmonics of the respiration signal. The frequency of this signal is typically in the range 0.2 Hz to 0.4 Hz [23,24]. After an FFT is performed on A M×N to obtain F M×N , a frequency window of width 0.1 Hz to 0.8 Hz is used.…”

Section: Windowed Fourier Transformmentioning

confidence: 99%

“…However, as shown in Figure 9c,d, the respiration signal is significantly enhanced using multiple frequency accumulators. Based on these results, the range and respiration frequency are obtained from H M×N after frequency accumulation, i.e., (24) and (25), is applied four times.…”

Section: Windowed Fourier Transformmentioning

confidence: 99%

“…To avoid the codomain restriction in arctangent demodulation (AD), an extended differentiate and cross-multiply (DACM) method was proposed in [21]. Existing vital sign detection techniques are not suitable for trapped victims because they consider only some of the issues, such as removing clutter, determining respiration characteristics, and heart rate estimation [23][24][25][26][27][28][29][30][31][32][33][34][35][36][37][38][39][40][41]. An algorithm for vital sign detection based on radar data was developed in [16].…”

Section: Introductionmentioning

confidence: 99%

“…The fast Fourier transform (FFT) and Hilbert-Huang transform (HHT) have been used to analyse respiration signals [23,24]. Adaptive clutter cancellation has been proposed to remove respiration-like clutter [26].…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Clutter Elimination and Harmonic Suppression of Non-Stationary Life Signs for Long-Range and Through-Wall Human Subject Detection Using Spectral Kurtosis Analysis (SKA)-Based Windowed Fourier Transform (WFT) Method

Yang

Qin

Liang³

et al. 2019

Applied Sciences

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Life sign detection is important in many applications, such as locating disaster victims. This can be difficult in low signal to noise ratio (SNR) and through-wall conditions. This paper considers life sign detection using an impulse ultra-wideband (UWB) bio-radar with an improved sensing algorithm for clutter elimination, harmonic suppression and random-noise de-noising. To improve detection performance, two filters are used to improve SNR of these life signs. The automatic gain method is performed in fast time to improve the respiration signals. The spectral kurtosis analysis (SKA)-based windowed Fourier transform (WFT) method and an accumulator in the frequency domain are used to provide two distance estimates between the radar and human subject. Further, the accumulator can also provide the frequency estimate of the respiration signals. These estimates are used to determine if a human is present in the detection environment. Results are presented which show that the range and respiration frequency can be estimated accurately in low signal to noise and clutter ratio (SNCR) environments. In addition, the performance is better than with other techniques given in the literature.

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Section: Windowed Fourier Transformmentioning

confidence: 99%

Section: Windowed Fourier Transformmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Clutter Elimination and Harmonic Suppression of Non-Stationary Life Signs for Long-Range and Through-Wall Human Subject Detection Using Spectral Kurtosis Analysis (SKA)-Based Windowed Fourier Transform (WFT) Method

Yang

Qin

Liang³

et al. 2019

Applied Sciences

View full text Add to dashboard Cite

show abstract

“…The fast Fourier transform (FFT)-based Hilbert transform is used in analyzing the time-frequency characteristic of the respiratory movements [24,25]. Considering the additive white Gaussian noise (AWGN), a maximum likelihood period estimator with lower complexity is proposed to acquire the period of human respiratory motions [29].…”

Section: Introductionmentioning

confidence: 99%

`Through-wall human being detection using UWB impulse radar

Liang

Zhang

et al. 2018

J Wireless Com Network

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Ultra-wideband (UWB) impulse radar plays an important role in contactless vital sign (VS) detection. The VS can be extracted remotely by acquiring the oscillations in the human chest. Unfortunately, it is usually challenging to identify VS due to the low signal-to-noise ratio (SNR) only based on the traditional fast Fourier transform (FFT) especially in complicated conditions. To extract VS accurately, this paper presents a new scheme by analyzing the skewness characteristic of the received UWB impulses, which are modulated by life activities. The distance from the human subject to the radar antenna can be calculated by performing the discrete short-time Fourier transform (DSFT) on skewness. The frequency of human respiratory movement can be estimated based on the developed ensemble empirical mode decomposition (EEMD)-based accumulation technique by canceling out the harmonics effectively. The performance of the developed detection method is tested with several experiments carried out in different environments.

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Dual‐metasurface‐based wideband antenna

Wang

Zhang

et al. 2022

Int J RF Mic Comp-Aid Eng

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A dual metasurface‐based wideband antenna is proposed herein. The antenna is fed through the stepped aperture of a coplanar waveguide. One layer of the metasurface is printed directly above the aperture, where the other layer is printed on the dielectric plate and placed above the antenna. The antenna bandwidth is significantly improved by the high‐order modes excited by the double‐layer metasurface. The proposed antenna is simple and compact. The − 10 dB relative impedance bandwidth of the proposed antenna is approximately 95.6% (4.8–13.6 GHz), and the main radiation direction deviates from the normal direction by 30°. The proposed antenna has an ultra‐wideband (UWB), which facilitates short‐range indoor UWB positioning.

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Numerical simulation of UWB impulse radar vital sign detection at an earthquake disaster site

Cited by 38 publications

References 10 publications

Clutter Elimination and Harmonic Suppression of Non-Stationary Life Signs for Long-Range and Through-Wall Human Subject Detection Using Spectral Kurtosis Analysis (SKA)-Based Windowed Fourier Transform (WFT) Method

Clutter Elimination and Harmonic Suppression of Non-Stationary Life Signs for Long-Range and Through-Wall Human Subject Detection Using Spectral Kurtosis Analysis (SKA)-Based Windowed Fourier Transform (WFT) Method

`Through-wall human being detection using UWB impulse radar

Dual‐metasurface‐based wideband antenna

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