MIMO radar for advanced driver-assistance systems and autonomous driving: Advantages and challenges
Important requirements for automotive radar are high resolution, low hardware cost, and
small size. Multiple-input, multiple-output (MIMO) radar technology has been receiving …
small size. Multiple-input, multiple-output (MIMO) radar technology has been receiving …
RF sensing technologies for assisted daily living in healthcare: A comprehensive review
SA Shah, F Fioranelli - IEEE Aerospace and Electronic Systems …, 2019 - ieeexplore.ieee.org
The aim of radio-frequency (RF) sensing for assisted living is to deliver automatic support
and monitoring for older people in their homes, impaired patients living independently …
and monitoring for older people in their homes, impaired patients living independently …
Joint radar and communication design: Applications, state-of-the-art, and the road ahead
Sharing of the frequency bands between radar and communication systems has attracted
substantial attention, as it can avoid under-utilization of otherwise permanently allocated …
substantial attention, as it can avoid under-utilization of otherwise permanently allocated …
[HTML][HTML] 雷达通信频谱共享及一体化: 综述与展望
刘凡， 袁伟杰， 原进宏， 张健， 费泽松， 周建明 - 雷达学报, 2020 - radars.ac.cn
随着无线通信技术的发展, 全球通信产业对于无线频谱的需求日益增加. 在此背景下,
雷达与通信的频谱共享(RCSS) 引起了工业界和学术界的极大关注. 其内涵不仅包括促成雷达与 …
雷达与通信的频谱共享(RCSS) 引起了工业界和学术界的极大关注. 其内涵不仅包括促成雷达与 …
Continuous human activity classification from FMCW radar with Bi-LSTM networks
A Shrestha, H Li, J Le Kernec… - IEEE Sensors …, 2020 - ieeexplore.ieee.org
Recognition of human movements with radar for ambient activity monitoring is a developed
area of research that yet presents outstanding challenges to address. In real environments …
area of research that yet presents outstanding challenges to address. In real environments …
Deep convolutional autoencoder for radar-based classification of similar aided and unaided human activities
MS Seyfioğlu, AM Özbayoğlu… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Radar-based activity recognition is a problem that has been of great interest due to
applications such as border control and security, pedestrian identification for automotive …
applications such as border control and security, pedestrian identification for automotive …
Radar-based human-motion recognition with deep learning: Promising applications for indoor monitoring
Deep learning (DL) has shown tremendous promise in radar applications that involve target
classification and imaging. In the field of indoor monitoring, researchers have shown an …
classification and imaging. In the field of indoor monitoring, researchers have shown an …
mid: Tracking and identifying people with millimeter wave radar
The key to offering personalised services in smart spaces is knowing where a particular
person is with a high degree of accuracy. Visual tracking is one such solution, but concerns …
person is with a high degree of accuracy. Visual tracking is one such solution, but concerns …
Reconfigurable intelligent surface based RF sensing: Design, optimization, and implementation
Using radio-frequency (RF) sensing techniques for human posture recognition has attracted
growing interest due to its advantages of pervasiveness, contact-free observation, and …
growing interest due to its advantages of pervasiveness, contact-free observation, and …
FallDeFi: Ubiquitous fall detection using commodity Wi-Fi devices
Falling or tripping among elderly people living on their own is recognized as a major public
health worry that can even lead to death. Fall detection systems that alert caregivers, family …
health worry that can even lead to death. Fall detection systems that alert caregivers, family …