A 60 GHz Six-Port Distance Measurement System With Sub-Millimeter Accuracy

Haddadi, Kamel; Wang, M.M.; Glay, D.; Lasri, T.

doi:10.1109/lmwc.2009.2029744

Cited by 28 publications

(7 citation statements)

References 9 publications

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“…Notice that the displacement calculated by Equation (21) is the same as that of microwave interferometry reported in [ 18 , 21 ], and the accuracy of Equation (21) can reach sub-millimeter level since the initial frequency f o of transmitted microwaves is usually at least several GHz. However, the unambiguous range is less than λ/2, which indicates that the displacement can only be obtained exactly when the actual displacement among successive samplings does not exceed λ/2.…”

Section: Fmcw Radar Sensor For Displacement Measurement Of Single mentioning

confidence: 61%

“…Differential GPS has a highest accuracy of centimeters, but it is also insufficient and too expensive for SHM systems [ 14 ]. Radar-based systems, which are suitable for bad weather conditions as well, have been reported in many displacement measurement applications [ 17 , 18 , 19 , 20 , 21 ]. In recent years, the research interest in radar-based systems for SHM is also increasing [ 6 , 7 , 15 ], and further exploitation is expected for multi-target identification and high-accuracy displacement measurement.…”

Section: Introductionmentioning

confidence: 99%

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A Noncontact FMCW Radar Sensor for Displacement Measurement in Structural Health Monitoring

Chen

Liu

et al. 2015

Sensors

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This paper investigates the Frequency Modulation Continuous Wave (FMCW) radar sensor for multi-target displacement measurement in Structural Health Monitoring (SHM). The principle of three-dimensional (3-D) displacement measurement of civil infrastructures is analyzed. The requirements of high-accuracy displacement and multi-target identification for the measuring sensors are discussed. The fundamental measuring principle of FMCW radar is presented with rigorous mathematical formulas, and further the multiple-target displacement measurement is analyzed and simulated. In addition, a FMCW radar prototype is designed and fabricated based on an off-the-shelf radar frontend and data acquisition (DAQ) card, and the displacement error induced by phase asynchronism is analyzed. The conducted outdoor experiments verify the feasibility of this sensing method applied to multi-target displacement measurement, and experimental results show that three targets located at different distances can be distinguished simultaneously with millimeter level accuracy.

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Section: Fmcw Radar Sensor For Displacement Measurement Of Single mentioning

confidence: 61%

Section: Introductionmentioning

confidence: 99%

A Noncontact FMCW Radar Sensor for Displacement Measurement in Structural Health Monitoring

Chen

Liu

et al. 2015

Sensors

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“…One study found that they could only achieve a maximum accuracy of 80% even when the subject was walking straight towards the radar [88]. This could be overcome by implementing a correction factor calculated as a function of the angle between the trajectory of the walk and the radar's radial direction, which might be achieved using techniques such as Frequency-Modulated Continuous-Wave (FMCW) [100] and Multiple-Input Multiple-Output (MIMO) [101] to obtain range, elevation and azimuth measurements [98].…”

Section: Non-wearable Radar Systemsmentioning

confidence: 99%

State-of-the-Art Wearable Sensors and Possibilities for Radar in Fall Prevention

Argañarás

Wong

Begg

et al. 2021

Sensors

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Radar technology is constantly evolving, and new applications are arising, particularly for the millimeter wave bands. A novel application for radar is gait monitoring for fall prevention, which may play a key role in maintaining the quality of life of people as they age. Alarming statistics indicate that one in three adults aged 65 years or older will experience a fall every year. A review of the sensors used for gait analysis and their applications to technology-based fall prevention interventions was conducted, focusing on wearable devices and radar technology. Knowledge gaps were identified, such as wearable radar development, application specific signal processing and the use of machine learning algorithms for classification and risk assessment. Fall prevention through gait monitoring in the natural environment presents significant opportunities for further research. Wearable radar could be useful for measuring gait parameters and performing fall risk-assessment using statistical methods, and could also be used to monitor obstacles in real-time.

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“…The authors have contributed to the dissemination of the Six-Port technology for microwave and mm-wave vector network analysis [29]- [33], telecommunications and localization [34]- [36], short-range radars [37]- [38] and electromagnetic sensing [39]- [40]. Based on our previous works, the authors propose a fully integrated V-band architecture to provide both localization and modulation/demodulation functionalities.…”

Section: Introductionmentioning

confidence: 99%

MMIC Vector Topology Enabling Multi RF Functionalities for 5G and Beyond

2021

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This paper presents a vector topology of a monolithic microwave integrated circuit (MMIC) capable of performing several radiofrequency (RF) functionalities essential for future wireless communications and geolocation in the millimeter frequency band. The proposed circuit can address several usage modes such as conventional frequency heterodyning for high-speed IQ modulation and demodulation. In addition, the device can be configured in six-port quadratic detection mode to achieve optimum power added efficiency (PAE). The topology developed in 65 nm FDSOI CMOS technology achieves broadband V-band frequency operation and combines vector precision for both high data rates and phase state determination. The results presented concern QPSK modulation schemes at data rates up to 4 Gbps as well as essential geolocation metrics such as time domain of arrival (TDoA) and angle of arrival (AoA). The combination of vector accuracy / PAE together with wide linear operating range makes this topology a viable candidate for next generation radio frequency systems. INDEX TERMSMonolithic microwave integrated circuit (MMIC), IQ modulation / demodulation, Millimeter wave, Six-port technology, Time domain of arrival (TDoA), Angle of arrival (AoA).

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A 60 GHz Six-Port Distance Measurement System With Sub-Millimeter Accuracy

Cited by 28 publications

References 9 publications

A Noncontact FMCW Radar Sensor for Displacement Measurement in Structural Health Monitoring

A Noncontact FMCW Radar Sensor for Displacement Measurement in Structural Health Monitoring

State-of-the-Art Wearable Sensors and Possibilities for Radar in Fall Prevention

MMIC Vector Topology Enabling Multi RF Functionalities for 5G and Beyond

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