Editors' Choice—Review—Semiconductor Integrated Radar for Sensing Applications

Lin, Jenshan; Li, Changzhi; Chang, Chia-Chan; Tsai, Tsung-Heng; Zito, Domenico; Chang, Sheng-Fuh

doi:10.1149/2.0181807jss

Cited by 6 publications

(1 citation statement)

References 54 publications

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“…An indirect accuracy evaluation is reported, for a different context, in [33]: the experiments indicate a 2.5% absolute accuracy of the developed sensor. Finally, it is worth noticing that a further cost reduction for Doppler sensors could be attained implementing cellulose-based front-ends [60], [61], in addition to large-scale integration on silicon technology of the entire radar transceiver [62].…”

Section: Appendix a Sensor Hardwarementioning

confidence: 99%

Noncontact Measurement of River Surface Velocity and Discharge Estimation With a Low-Cost Doppler Radar Sensor

Alimenti

Bonafoni

Gallo

et al. 2020

IEEE Trans. Geosci. Remote Sensing

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River discharge is an important variable to measure in order to predict droughts and flood occurrences. Once the cross-section geometry of the river is known, discharge can be inferred from water level and surface flow velocity measurements. Since river discharges are of particular interest during extreme weather events, when river sites cannot be safely accessed, noncontact sensing technologies are particularly appealing. To this purpose, the present work proposes a prototype of a low-cost Continuous Wave (CW) Doppler radar sensor, able to monitor the surface flow velocity of rivers. The prototype is tested at two gauged sites in central Italy, along the Tiber River. The surface flow velocity distribution across the river is monitored by means of the analysis of the received Doppler signal. The surface velocity statistics are then extracted using a novel algorithm that is optimized to run on a microprocessor platform with minimal computing power (ArduinoUNO). In particular, the radar measurements are used to initialize a 2D Entropy-based Velocity Model (EVM) that is able to estimate river discharges in any flow condition. Finally, the results concerning the observed discharge provided by the EVM prove to be comparable with those obtained with more expensive commercial solutions. The results are important since the described methodology can be extended to small-size Doppler radar sensors onboard Unmanned Aerial Vehicles (UAVs), the latter providing a method for mapping surface velocity of rivers.

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Section: Appendix a Sensor Hardwarementioning

confidence: 99%

Noncontact Measurement of River Surface Velocity and Discharge Estimation With a Low-Cost Doppler Radar Sensor

Alimenti

Bonafoni

Gallo

et al. 2020

IEEE Trans. Geosci. Remote Sensing

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Radar Sensor System for Unobtrusive Level Monitoring of Granular Solids Stored in Silos

Zini

Baù

Scubla³

et al. 2023

Lecture Notes in Electrical Engineering

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Radar for Health Care: Recognizing Human Activities and Monitoring Vital Signs

2019

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Radar for healthcare: recognising human activities and monitoring vital signsRadar is typically associated to defence and military applications, such as detection and monitoring of the traffic of ships and aircraft in certain areas. Many of us must have seen for example the antennas near the runways of airports while travelling, rotating to scan the surrounding space and discover airplanes approaching or leaving. However, in recent years radar has started to gain significant interest in many fields beyond defence or air traffic control, opening indeed "new frontiers in radar", as the title of our special collection of articles mentions. Emerging applications of radar sensing include, but are not limited to, automotive radar (radar on vehicles to help them navigate around obstacles and other vehicles), human gesture identification (radar to identify the complex gestures performed by human users to interact with smart objects without tapping screens or pushing buttons), and healthcare domain (radar to estimate vital signs such as respiration and heartbeat, and to monitor our level of activities at home). So, radar is ceasing to be only of interest to a niche community of researchers and users in the defence sector, and becoming a relevant subject for a wide audience of students in electronic engineering and computer science, researchers and academics, entrepreneurs and policy makers. Radar sensing intersects and relates to many skills and disciplines, from manufacturing of chips and components operating at the desired frequency to electromagnetic wave propagation, from manufacturing and integration on printed circuit boards (PCBs) to power management, from radar-specific signal processing to machine learning algorithms applied to radar data. For this reason, it is very likely that engineering professionals will have to deal with some aspects of radar sensing as part of the design and development of a larger system, be that a smart vehicle, a mobile phone, a tablet, or a suite of sensors for new smart homes. In this article, we decide to focus on the healthcare applications of radar systems and radar sensing, which perhaps are among the most innovative and somewhat most different from the traditional, defence-oriented applications that are commonly associated to radar. New healthcare needs and provisionThe adoption of radar sensing and other technologies in the domain of healthcare is related to the new needs in care and welfare provision arising from the rapidly aging population worldwide. Estimates from the World Health Organisation and United Nation analysis report that 30% of the world population will be over 65 by 2050, and in the UK the Office for National Statistics expects the proportion of people over 85 years to double over the next 20 years. With aging, the incidence of multiple chronic health conditions (or "multimorbidity") and the likelihood of critical, life-threatening events such as strokes or falls increase. Statistics from the UK charity Age UK show for example that "falls and fractures in people ...

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Editors' Choice—Review—Semiconductor Integrated Radar for Sensing Applications

Abstract: This paper reviews recent developments of semiconductor integrated radar for modern sensing applications. It focuses on a few representative works of integrated radar sensor chips that operate in the continuous-wave mode and the ultra-wideband pulse mode.

Cited by 6 publications

References 54 publications

Noncontact Measurement of River Surface Velocity and Discharge Estimation With a Low-Cost Doppler Radar Sensor

Noncontact Measurement of River Surface Velocity and Discharge Estimation With a Low-Cost Doppler Radar Sensor

Radar Sensor System for Unobtrusive Level Monitoring of Granular Solids Stored in Silos

Radar for Health Care: Recognizing Human Activities and Monitoring Vital Signs

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