A New Method for Non-Line-of-Sight Vital Sign Monitoring Based on Developed Adaptive Line Enhancer Using Low Centre Frequency Uwb Radar

Li, Wen Zhe; Zhao, Li; Lv, Hao; Lü, Guohua; Zhang, Yang; Jing, Xijing; Li, Sheng; Wang, Jianqi

doi:10.2528/pier12093002

Cited by 30 publications

(14 citation statements)

References 31 publications

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“…We compressed the 4096 points along the fast time index which associated to range into 2048 points [18]. As Figure 9 shows, the target located in the 1100 point.…”

Section: Experiments and Resultsmentioning

confidence: 99%

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Using Wavelet Entropy to Distinguish Between Humans and Dogs Detected by Uwb Radar

Wang¹,

Yu²,

Zhang³

et al. 2013

PIER

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Abstract-When using ultra-wide band (UWB) radar to detect targets in various conditions, identifying whether the target buried under building debris or in bad visibility conditions is a human or an animal is crucial. This paper presents the application of the wavelet entropy (WE) method to distinguish between humans and animal targets through brick wall and in free space at a certain distance. In the study, WE, WE change, and WE of the related range points were estimated for the echo signals from five humans and five dogs. Our findings indicate that the entropy or degree of disorder in the energy distribution of the human target was much lower than that of the dog, and the waveform of the human's entropy was smoother than that of the dog. In addition, the body micro motions of humans are much more ordered than those of dogs. WE can be employed as a quantitative measure for recognizing invisible targets and may be a useful tool in the UWB radar's practical applications.

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“…We compressed the 4096 points along the fast time index which associated to range into 2048 points [18]. As Figure 9 shows, the target located in the 1100 point.…”

Section: Experiments and Resultsmentioning

confidence: 99%

“…Current research primarily focuses on the use of UWB radar for vital signs detection, to detect and identify people buried underground, track moving human targets, or detect multi-stationary human targets [14][15][16][17][18]. The characteristics of animals detected by radar have also been studied [19,20].…”

Section: Introductionmentioning

confidence: 99%

Using Wavelet Entropy to Distinguish Between Humans and Dogs Detected by Uwb Radar

Wang¹,

Yu²,

Zhang³

et al. 2013

PIER

Self Cite

View full text Add to dashboard Cite

show abstract

“…9 for various values of the pulse repetition frequency f r . These f r values are manually collected from experimental settings of IR-UWB radar systems of many different groups [1,10,16,[38][39][40]. The horizontal bold dashed line indicates where our model has the same complexity with that of the CTFT.…”

Section: Computational Complexity Comparisonmentioning

confidence: 99%

“…Impulse radio Ultrawideband (IR-UWB) radar is a promising tool for non-contact physiological sensing, with applications including continuous health monitoring, breast tumor detection, search and rescue for trapped survivors under rubble, and surveillance [1][2][3][4][5][6][7][8][9]. Detecting respiration rate (RR) and heart rate (HR) by processing the chest-reflected IR-UWB radar signal attracts much research effort [10][11][12][13][14][15][16].…”

Section: Introductionmentioning

confidence: 99%

Theoretical Spectral Analysis of the Ir-Uwb Radar Chest Reflection With Arbitrary Periodic Breathing- And Heart-Induced Displacements

Nguyễn¹,

Weitnauer²

2016

PIER B

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Abstract-The moving chest wall imparts a delay modulation onto the reflected IR-UWB radar signal, making the radar return a nonlinear function of chest wall displacement. Existing theoretical spectral models of the IR-UWB radar reflections from the human chest wall have restrictive assumptions that preclude realistic modeling of chest wall displacement and assume an aliased version of the radar signal. This paper presents novel theoretical analysis of the un-aliased spectrum, without the restrictive assumptions. Potential applications not specifically treated in this paper, but illustrative of the novelty and broader scope of the presented analysis, include heart-induced displacements that are realistically more bursty in nature and breathing-induced displacements consistent with, for example, non-unity inspiration-to-expiration ratios characteristic of asthma; neither of these could be analyzed using previous models. As well known, the un-aliased spectrum cannot generally be recovered from the aliased spectrum. In particular, the paper shows that the clusters of the non-aliased spectrum are not just scaled versions of each other; rather they have complex variations that if measurable, could enable estimation of parameters such as displacement amplitude; such variations are not apparent in the existing aliased spectrum model, which has just one cluster. This paper analyzes the degree to which the aliased model differs from the non-aliased model. The paper also addresses some practical aspects of the spectral model, such as the number of significant components in a spectral cluster and computational complexity of the theoretical model.

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“…This topic is of great concern since UWB technology in combination with MIMO systems finds more and more applications in areas such as location tracking for outdoor emergency services [4,5], location tracking and sensor for mobile outdoor users [6], medical [7] and electronic warfare applications [3]. Moreover, some research results [8][9][10] proved that a joint radar and wireless communication system would constitute a unique platform for future intelligent environmental sensing and ad-hoc communication networks, in terms of both spectrum efficiency and cost effectiveness.…”

Section: Introductionmentioning

confidence: 99%

Effects of Non-Fixed Scatterers' Random Movements on Ultra-Wideband Miso Channels

Pistea¹

2014

PIER C

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Abstract-Most wireless channel models assume fixed scatterers with specific geometrical distributions in the propagation environment. In reality most scatterers move with random movements on the azimuth plane. In this paper, the effects of such scatterers' random movements on the cross-correlation function (CCF) of wideband (WB) and ultra-wideband (UWB) non-isotropic multiple-input multiple-output (MIMO) channels are characterized. The CCF of WB/UWB MIMO channels is calculated not by assuming a specific geometry for scatterers in space but based on specific mathematical relationships between physical parameters of the wireless channel along with appropriate assumptions on their probability density functions (pdfs). The CCF is used to determine the influence of moving scatterers, in a stationary scenario, on the power spectral density (PSD) and the coherence time of WB and UWB multiple-input single-output (MISO) channels, as a particular case of MIMO channels. Unlike the fixed scatterers case, the PSD is not a band-limited process, it decays with frequency.

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A New Method for Non-Line-of-Sight Vital Sign Monitoring Based on Developed Adaptive Line Enhancer Using Low Centre Frequency Uwb Radar

Cited by 30 publications

References 31 publications

Using Wavelet Entropy to Distinguish Between Humans and Dogs Detected by Uwb Radar

Using Wavelet Entropy to Distinguish Between Humans and Dogs Detected by Uwb Radar

Theoretical Spectral Analysis of the Ir-Uwb Radar Chest Reflection With Arbitrary Periodic Breathing- And Heart-Induced Displacements

Effects of Non-Fixed Scatterers' Random Movements on Ultra-Wideband Miso Channels

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