A Compact Ka-Band Doppler Radar Sensor for Remote Human Vital Signal Detection

Han, Ji-Hyung; Kim, Jeong‐Geun; Hong, Songcheol

doi:10.5515/jkiees.2012.12.4.234

Cited by 4 publications

(3 citation statements)

References 8 publications

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“…Low-pass filters, high-pass filters, notch filters, and complex digital signal processing algorithms have also been reported for noise filtering and DC offsets elimination [26,27,33,[61][62][63]. The reported filters are types of Sallen-Key [61,[64][65][66], Elliptic [62,67], Butterworth, and RC passive [33,55,59,68] filters. Phase and Self-Injection-Locked (PSIL) oscillator with dual-tuning voltage-controlled oscillator has also been reported to achieve high signal-to-noise ratio [56].…”

Section: Clutter and DC Offset Cancellationmentioning

confidence: 99%

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Doppler Radar-Based Non-Contact Health Monitoring for Obstructive Sleep Apnea Diagnosis: A Comprehensive Review

Tran

Al-Jumaily

Islam

2019

BDCC

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Today’s rapid growth of elderly populations and aging problems coupled with the prevalence of obstructive sleep apnea (OSA) and other health related issues have affected many aspects of society. This has led to high demands for a more robust healthcare monitoring, diagnosing and treatments facilities. In particular to Sleep Medicine, sleep has a key role to play in both physical and mental health. The quality and duration of sleep have a direct and significant impact on people’s learning, memory, metabolism, weight, safety, mood, cardio-vascular health, diseases, and immune system function. The gold-standard for OSA diagnosis is the overnight sleep monitoring system using polysomnography (PSG). However, despite the quality and reliability of the PSG system, it is not well suited for long-term continuous usage due to limited mobility as well as causing possible irritation, distress, and discomfort to patients during the monitoring process. These limitations have led to stronger demands for non-contact sleep monitoring systems. The aim of this paper is to provide a comprehensive review of the current state of non-contact Doppler radar sleep monitoring technology and provide an outline of current challenges and make recommendations on future research directions to practically realize and commercialize the technology for everyday usage.

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Section: Clutter and DC Offset Cancellationmentioning

confidence: 99%

“…The ranges of the reported filter bandwidth frequencies for respiratory rate are from 0.1-0.5 Hz which is equivalent to 6-30 breaths per minute. The heart rate frequencies are from 0.8-2.0 Hz which is equivalent to 48-120 beats per minute [13,26,32,39,40,59,61,63,65,69].…”

Section: Time-frequency Analysismentioning

confidence: 99%

Doppler Radar-Based Non-Contact Health Monitoring for Obstructive Sleep Apnea Diagnosis: A Comprehensive Review

Tran

Al-Jumaily

Islam

2019

BDCC

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“…With the development of the complementary metal-oxide-semiconductor (CMOS) process and integrated chip (IC) technology, it is possible to design a radar transceiver in X-band, K-band, and W-band with low power and low cost. Therefore, many studies on implementing CMOS radar transceiver [ 4 , 5 , 6 , 7 , 8 , 9 , 10 , 11 , 12 ] have been actively conducted, recently. In addition, studies on signal processing algorithms that improve the performance of radar sensors have also been carried out [ 13 , 14 , 15 , 16 , 17 , 18 , 19 ].…”

Section: Introductionmentioning

confidence: 99%

Design of Dual-Mode Local Oscillators Using CMOS Technology for Motion Detection Sensors

Lee

Kim

et al. 2018

Sensors

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Recently, studies have been actively carried out to implement motion detecting sensors by applying radar techniques. Doppler radar or frequency-modulated continuous wave (FMCW) radar are mainly used, but each type has drawbacks. In Doppler radar, no signal is detected when the movement is stopped. Also, FMCW radar cannot function when the detection object is near the sensor. Therefore, by implementing a single continuous wave (CW) radar for operating in dual-mode, the disadvantages in each mode can be compensated for. In this paper, a dual mode local oscillator (LO) is proposed that makes a CW radar operate as a Doppler or FMCW radar. To make the dual-mode LO, a method that controls the division ratio of the phase locked loop (PLL) is used. To support both radar mode easily, the proposed LO is implemented by adding a frequency sweep generator (FSG) block to a fractional-N PLL. The operation mode of the LO is determined by according to whether this block is operating or not. Since most radar sensors are used in conjunction with microcontroller units (MCUs), the proposed architecture is capable of dual-mode operation by changing only the input control code. In addition, all components such as VCO, LDO, and loop filter are integrated into the chip, so complexity and interface issues can be solved when implementing radar sensors. Thus, the proposed dual-mode LO is suitable as a radar sensor.

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Noncontact Proximity Vital Sign Sensor Based on PLL for Sensitivity Enhancement

Hong

Kim

et al. 2014

IEEE Trans. Biomed. Circuits Syst.

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In this paper, a noncontact proximity vital sign sensor, using a phase locked loop (PLL) incorporated with voltage controlled oscillator (VCO) built-in planar type circular resonator, is proposed to enhance sensitivity in severe environments. The planar type circular resonator acts as a series feedback element of the VCO as well as a near-field receiving antenna. The frequency deviation of the VCO related to the body proximity effect ranges from 0.07 MHz/mm to 1.8 MHz/mm (6.8 mV/mm to 205 mV/mm in sensitivity) up to a distance of 50 mm, while the amount of VCO drift is about 21 MHz in the condition of 60 (°)C temperature range and discrete component tolerance of ± 5%. Total frequency variation occurs in the capture range of the PLL which is 60 MHz. Thus, its loop control voltage converts the amount of frequency deviation into a difference of direct current (DC) voltage, which is utilized to extract vital signs regardless of the ambient temperature. The experimental results reveal that the proposed sensor placed 50 mm away from a subject can reliably detect respiration and heartbeat signals without the ambiguity of harmonic signals caused by respiration signal at an operating frequency of 2.4 GHz.

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A Compact Ka-Band Doppler Radar Sensor for Remote Human Vital Signal Detection

Cited by 4 publications

References 8 publications

Doppler Radar-Based Non-Contact Health Monitoring for Obstructive Sleep Apnea Diagnosis: A Comprehensive Review

Doppler Radar-Based Non-Contact Health Monitoring for Obstructive Sleep Apnea Diagnosis: A Comprehensive Review

Design of Dual-Mode Local Oscillators Using CMOS Technology for Motion Detection Sensors

Noncontact Proximity Vital Sign Sensor Based on PLL for Sensitivity Enhancement

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