A 118-mW 23.3-GS/s dual-band 7.3-GHz and 8.7-GHz impulse-based direct RF sampling radar SoC in 55-nm CMOS

Andersen, Nikolaj; Granhaug, Kristian; Michaelsen, Jørgen Andreas; Bagga, S.; Hjortland, Håkon A.; Knutsen, Mats Risopatron; Lande, Tor Sverre; Wisland, Dag T.

doi:10.1109/isscc.2017.7870299

Cited by 17 publications

(5 citation statements)

References 6 publications

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“…Directly sampling the signal at RF frequency is another approach (see Fig. 16(b) ), which preserves all the information carried in the received waveform in the digital domain [114] – [117] , [119] , [120] , [124] , [125] . This relaxes the selection of subsequent processing and detection algorithms.…”

Section: Non-contact Breathing Monitoring Techniquesmentioning

confidence: 99%

Contact and Remote Breathing Rate Monitoring Techniques: A Review

et al. 2021

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Breathing rate monitoring is a must for hospitalized patients with the current coronavirus disease 2019 (COVID-19). We review in this paper recent implementations of breathing monitoring techniques, where both contact and remote approaches are presented. It is known that with non-contact monitoring, the patient is not tied to an instrument, which improves patients' comfort and enhances the accuracy of extracted breathing activity, since the distress generated by a contact device is avoided. Remote breathing monitoring allows screening people infected with COVID-19 by detecting abnormal respiratory patterns. However, non-contact methods show some disadvantages such as the higher set-up complexity compared to contact ones. On the other hand, many reported contact methods are mainly implemented using discrete components. While, numerous integrated solutions have been reported for non-contact techniques, such as continuous wave (CW) Doppler radar and ultrawideband (UWB) pulsed radar. These radar chips are discussed and their measured performances are summarized and compared. Index Terms-Chronic obstructive pulmonary diseases (COPD), COVID-19, breathing monitoring techniques, Doppler radar, ultra-wideband (UWB) pulse radar. I. INTRODUCTIONT TE main function of the respiratory system is gas exchange. Oxygen is transferred from the external ambient into our bloodstream, while carbon dioxide is expelled outside [1]. Fig. 1 illustrates the respiratory system including the upper and lower respiratory tract regions. When inhaling, the air flow passes through the larynx and the trachea, and then splits into two bronchi. Each bronchus is divided into two Manuscript

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Section: Non-contact Breathing Monitoring Techniquesmentioning

confidence: 99%

Contact and Remote Breathing Rate Monitoring Techniques: A Review

et al. 2021

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“…The system on chip (SoC) radar sensor has become very popular as it has many applications. The work in [102] introduced an SoC radar sensor with RF interference rejection and integration of power management clock generation functions. To operate this system, the external antennae and crystal need to be connected within this compact kit.…”

Section: Background Research and Literature Reviewmentioning

confidence: 99%

“…System overview and real-life application example with measured performance [102]. LNA, linear amplifier.…”

Section: Figurementioning

confidence: 99%

Review-Microwave Radar Sensing Systems for Search and Rescue Purposes

Van

Tang

Demir

et al. 2019

Sensors

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This paper presents a survey of recent developments using Doppler radar sensor in searching and locating an alive person under debris or behind a wall. Locating a human and detecting the vital signs such as breathing rate and heartbeat using a microwave sensor is a non-invasive technique. Recently, many hardware structures, signal processing approaches, and integrated systems have been introduced by researchers in this field. The purpose is to enhance the accuracy of vital signs’ detection and location detection and reduce energy consumption. This work concentrates on the representative research on sensing systems that can find alive people under rubble when an earthquake or other disasters occur. In this paper, various operating principles and system architectures for finding survivors using the microwave radar sensors are reviewed. A comparison between these systems is also discussed.

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“…In recent years, applications based on UWB technology have sprung up, such as their use in the detection of physical signs such as breathing and heartbeat [14], non-contact subject target trajectory recording [15], and target location determination in large indoor scenes [16]. In recent years, many scholars have focused on people counting methods based on pulsed radar [17] as well as Frequency Modulated Continuous Wave (FMCW) radar [18] because of their low or even negligible influence in terms of light or ambient temperatures, their high resolution in terms of people or objects, and their lack of related issues such as those relating to personal privacy. IR-UWB radar-based people counting methods generally have the following two branches, one is Line of Interest (LOI), which is the detection of people standing on the same line at a certain fixed angle, for example, in [19,20].…”

Section: Introductionmentioning

confidence: 99%

An Excess Kurtosis People Counting System Based on 1DCNN-LSTM Using Impulse Radio Ultra-Wide Band Radar Signals

Zhang,

Dang,

Hao

2023

Electronics

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As the Artificial Intelligence of Things (AIOT) and ubiquitous sensing technologies have been leaping forward, numerous scholars have placed a greater focus on the use of Impulse Radio Ultra-Wide Band (IR-UWB) radar signals for Region of Interest (ROI) population estimation. To address the problem concerning the fact that existing algorithms or models cannot accurately detect the number of people counted in ROI from low signal-to-noise ratio (SNR) received signals, an effective 1DCNN-LSTM model was proposed in this study to accurately detect the number of targets even in low-SNR environments with considerable people. First, human-induced excess kurtosis was detected by setting a threshold using the optimized CLEAN algorithm. Next, the preprocessed IR-UWB radar signal pulses were bundled into frames, and the resulting peaks were grouped to develop feature vectors. Subsequently, the sample set was trained based on the 1DCNN-LSTM algorithm neural network structure. In this study, the IR-UWB radar signal data were acquired from different real environments with different numbers of subjects (0–10). As indicated by the experimental results, the average accuracy of the proposed 1DCNN-LSTM model for the recognition of people counting reached 86.66% at ROI. In general, a high-accuracy, low-complexity, and high-robustness solution in IR-UWB radar people counting was presented in this study.

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A 118-mW 23.3-GS/s dual-band 7.3-GHz and 8.7-GHz impulse-based direct RF sampling radar SoC in 55-nm CMOS

Cited by 17 publications

References 6 publications

Contact and Remote Breathing Rate Monitoring Techniques: A Review

Contact and Remote Breathing Rate Monitoring Techniques: A Review

Review-Microwave Radar Sensing Systems for Search and Rescue Purposes

An Excess Kurtosis People Counting System Based on 1DCNN-LSTM Using Impulse Radio Ultra-Wide Band Radar Signals

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