3D Shape Reconstruction Method for Multiple Aspects Using MIMO IR-UWB Radar System

Wang, Dingyang; Leem, Seong Kyu; Cho, Sung Ho

doi:10.1109/uwbusis.2018.8520235

Cited by 2 publications

(2 citation statements)

References 7 publications

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“…Recently, IR-UWB technology has been used in many applications due to its characteristics such as robustness in a harsh environment, accurate ranging at the level centimeters, less power consumption and good object penetration capacity [4]. Impulse radar has been used in many fields such as localization [5], medical [6][7][8][9][10][11][12][13][14][15][16][17][18][19][20][21][22][23][24], multihuman detection [25,26], gesture recognition [27][28][29][30], imaging [31,32], tumor vital signs are presented. The main focus of this research is on vital signs monitoring using IR-UWB radar; therefore, most sections of the paper (Sections 2-9) are related to vital signs.…”

Section: Introductionmentioning

confidence: 99%

An Overview of Signal Processing Techniques for Remote Health Monitoring Using Impulse Radio UWB Transceiver

Khan

Ghaffar

Khan

et al. 2020

Sensors

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Non-invasive remote health monitoring plays a vital role in epidemiological situations such as SARS outbreak (2003), MERS (2015) and the recently ongoing outbreak of COVID-19 because it is extremely risky to get close to the patient due to the spread of contagious infections. Non-invasive monitoring is also extremely necessary in situations where it is difficult to use complicated wired connections, such as ECG monitoring for infants, burn victims or during rescue missions when people are buried during building collapses/earthquakes. Due to the unique characteristics such as higher penetration capabilities, extremely precise ranging, low power requirement, low cost, simple hardware and robustness to multipath interferences, Impulse Radio Ultra Wideband (IR-UWB) technology is appropriate for non-invasive medical applications. IR-UWB sensors detect the macro as well as micro movement inside the human body due to its fine range resolution. The two vital signs, i.e., respiration rate and heart rate, can be measured by IR-UWB radar by measuring the change in the magnitude of signal due to displacement caused by human lungs, heart during respiration and heart beating. This paper reviews recent advances in IR-UWB radar sensor design for healthcare, such as vital signs measurements of a stationary human, vitals of a non-stationary human, vital signs of people in a vehicle, through the wall vitals measurement, neonate's health monitoring, fall detection, sleep monitoring and medical imaging. Although we have covered many topics related to health monitoring using IR-UWB, this paper is mainly focused on signal processing techniques for measurement of vital signs, i.e., respiration and heart rate monitoring.

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Section: Introductionmentioning

confidence: 99%

An Overview of Signal Processing Techniques for Remote Health Monitoring Using Impulse Radio UWB Transceiver

Khan

Ghaffar

Khan

et al. 2020

Sensors

Self Cite

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“…Therefore, IR-UWB radar is mainly used for indoor applications within a distance of 10 m. Owing to its wide bandwidth, this radar has a good penetration rate and high-ranging resolution. It is being studied in various of fields including presence detection [8,16], people counting [9,17], heart rate and respiration rate measurement [18][19][20], radar imaging [21,22], positioning [10,[23][24][25], and gesture recognition [26,27].…”

Section: Introductionmentioning

confidence: 99%

A New Thresholding Method for IR-UWB Radar-Based Detection Applications

Quan

Choi²,

Cho

2020

Sensors

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In this paper, we proposed a new thresholding method for impulse radio ultra-wideband (IR-UWB) radar-based detection applications by taking both the false alarm and miss-detection rates into consideration. The thresholding algorithm is the key point of the detection application, and there have been numerous studies on these developments. Most of these studies were related to the occurrence of false alarms, such as the constant false alarm rate algorithm (CFAR). However, very few studies have considered miss-detection, which is another crucial issue in detection applications. To mitigate this issue, our proposed algorithm considered miss-detection as well as the false alarms occurring during thresholding. In the proposed algorithm, a threshold is determined by combining a noise signal-based threshold, in which the focus point is the false alarm, with a target signal-based threshold, in which the focus point is a miss-detection, at a designed ratio. Therefore, a threshold can be determined based on the focus point by adjusting the designed ratio. In addition, the proposed algorithm can estimate the false alarm and miss-detection rates for the determined threshold, and thus, the threshold can be objectively set. Moreover, the proposed algorithm is better in terms of understanding the target signal for a given environment. A target signal can be affected by the clutter, installation height, and the angle of the radar, which are factors that noise-oriented algorithms do not consider. As the proposed algorithm analyzed the target signal, these factors were all considered. We analyzed the false alarm and miss-detection rates for the thresholds, which were determined by different combination ratios at various distances, and we experimentally verified the validity of the proposed algorithm.

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3D Shape Reconstruction Method for Multiple Aspects Using MIMO IR-UWB Radar System

Cited by 2 publications

References 7 publications

An Overview of Signal Processing Techniques for Remote Health Monitoring Using Impulse Radio UWB Transceiver

An Overview of Signal Processing Techniques for Remote Health Monitoring Using Impulse Radio UWB Transceiver

A New Thresholding Method for IR-UWB Radar-Based Detection Applications

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