Integrated Wideband Chip-Scale RF Transceivers for Radar Sensing and UWB Communications: A Survey

Fang, Zhongyuan; Wang, Wensong; Wang, Jipeng; Liu, Bingqiang; Tang, Kai; Lou, Liheng; Heng, Chun-Huat; Wang, Chao; Zheng, Yuanjin

doi:10.1109/mcas.2022.3142689

Cited by 15 publications

(3 citation statements)

References 163 publications

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“…The plasmonic routes and high-Q devices are highly potential for sensing application as well where miniature devices are mandatory. [140][141][142]…”

Section: Ghz Plasmonic Interconnectmentioning

confidence: 99%

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Review of recent progress on solid‐state millimeter‐wave and terahertz signal sources

Shan

Liang

Li³

et al. 2023

Circuit Theory & Apps

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SummaryThe research and development on solid‐state source generators have been making progress on chip, aiming to generate low noise, high output power, and high DC‐to‐RF energy efficiency in the millimeter‐wave (mmW) and terahertz (THz) domains. In particular, their full integration in silicon technologies, such as advanced complementary‐metal‐oxide‐semiconductor processes, has motivated the design of low cost, high performance, and miniature integrated circuits (ICs). This manuscript focuses on providing a general overview of recent progress on solid‐state signal source operating beyond 60 GHz till the THz region, from the perspective of operating principle, design metrics, state‐of‐the‐art performance, testing results, and their applications in emerging mmW/THz systems. Finally, with the use of fully integrated source generators, several design arts are highlighted to showcase the recent advances of ICs toward millimeter‐wave and THz radiation, imaging, coupled oscillator network (CON), and communication. Potential future research directions enabled by mmW/THz signal sources will be envisioned.

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“…The plasmonic routes and high-Q devices are highly potential for sensing application as well where miniature devices are mandatory. [140][141][142]…”

Section: Ghz Plasmonic Interconnectmentioning

confidence: 99%

“…In spite of this, the proposed plasmonic interconnect paves a new way toward energy efficient and crosstalk‐immune on‐chip OOK communications. The plasmonic routes and high‐ Q devices are highly potential for sensing application as well where miniature devices are mandatory 140–142 …”

Section: Mmw/thz Signal Source Involved Systemmentioning

confidence: 99%

Review of recent progress on solid‐state millimeter‐wave and terahertz signal sources

Shan

Liang

Li³

et al. 2023

Circuit Theory & Apps

Self Cite

View full text Add to dashboard Cite

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“…However, in this study, breathing data were collected using a non-contact mmWave sensor. Non-contact respiration measurement has the advantage of providing accurate breathing data while increasing patient convenience and safety, and it is used in various medical and research fields [6][7][8][9][10].…”

Section: Introductionmentioning

confidence: 99%

Detection of Multiple Respiration Patterns Based on 1D SNN from Continuous Human Breathing Signals and the Range Classification Method for Each Respiration Pattern

Hong

Kim²,

Han

2023

Sensors

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Human respiratory information is being used as an important source of biometric information that can enable the analysis of health status in the healthcare domain. The analysis of the frequency or duration of a specific respiration pattern and the classification of respiration patterns in the corresponding section for a certain period of time are important for the utilization of respiratory information in various ways. Existing methods require window slide processing to classify sections for each respiration pattern from the breathing data for a certain time period. In this case, when multiple respiration patterns exist within one window, the recognition rate can be lowered. To solve this problem, a 1D Siamese neural network (SNN)-based human respiration pattern detection model and a merge-and-split algorithm for the classification of multiple respiration patterns in each region for all respiration sections are proposed in this study. When calculating the accuracy based on intersection over union (IOU) for the respiration range classification result for each pattern, the accuracy was found to be improved by approximately 19.3% compared with the existing deep neural network (DNN) and 12.4% compared with a 1D convolutional neural network (CNN). The accuracy of detection based on the simple respiration pattern was approximately 14.5% higher than that of the DNN and 5.3% higher than that of the 1D CNN.

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Spectrally efficient IR-UWB pulse designs based on linear combinations of Gaussian Derivatives

Taki

Abou-Rjeily

2022

Telecommun Syst

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Pulse design is critical for impulse radio communications, as it determines the transmission efficiency with respect to regulation spectral limits. In this paper, we propose the design of several novel pulse shapes relying on combinations of Gaussian derivatives with the target of improving the spectral efficiency. A general model for maximizing the efficiency of dual and triplet couplings is presented, employing the interior point global optimization algorithm. Then, the spectrum peak frequency is derived in closed form for any combination of two Gaussians with consecutive orders of derivation. The parameters controlling the time properties of the generated waveforms have been adequately adjusted to reach the best compliance with the spectral mask. Novel pulses have been investigated providing a high efficiency using simple generation mechanisms, which can be practically implemented via analog circuits. Results demonstrated the advantage of the proposed pulse shapes in terms of the bit error rate performance for 2 Gbps OOK and 1 Gbps PPM in AWGN and multipath channels.

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Integrated Wideband Chip-Scale RF Transceivers for Radar Sensing and UWB Communications: A Survey

Cited by 15 publications

References 163 publications

Review of recent progress on solid‐state millimeter‐wave and terahertz signal sources

Review of recent progress on solid‐state millimeter‐wave and terahertz signal sources

Detection of Multiple Respiration Patterns Based on 1D SNN from Continuous Human Breathing Signals and the Range Classification Method for Each Respiration Pattern

Spectrally efficient IR-UWB pulse designs based on linear combinations of Gaussian Derivatives

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