Automotive radar—From first efforts to future systems
Although the beginning of research on automotive radar sensors goes back to the 1960s,
automotive radar has remained one of the main drivers of innovation in millimeter wave …
automotive radar has remained one of the main drivers of innovation in millimeter wave …
Convolutional neural network-based radar jamming signal classification with sufficient and limited samples
G Shao, Y Chen, Y Wei - IEEE Access, 2020 - ieeexplore.ieee.org
Jamming is a big threat to radar system survival and anti-jamming is a part of the solution.
The classification of radar jamming signal is the first step toward to anti-jamming. Recently …
The classification of radar jamming signal is the first step toward to anti-jamming. Recently …
Robust gait recognition based on deep cnns with camera and radar sensor fusion
In recent years, gait recognition has emerged as an important and promising solution for
human identification. Generally, gait recognition is based on a single type of sensor, such as …
human identification. Generally, gait recognition is based on a single type of sensor, such as …
A short-range FMCW radar-based approach for multi-target human-vehicle detection
In this article, a new microwave-radar-based technique for short-range detection and
classification of multiple human and vehicle targets crossing a monitored area is proposed …
classification of multiple human and vehicle targets crossing a monitored area is proposed …
Cone-shaped space target inertia characteristics identification by deep learning with compressed dataset
S Wang, M Li, T Yang, X Ai, J Liu… - … on Antennas and …, 2022 - ieeexplore.ieee.org
An effective method for identifying inertia characteristics of cone-shaped space target based
on deep learning is proposed. The inertia ratio is determined by the time-varying scattering …
on deep learning is proposed. The inertia ratio is determined by the time-varying scattering …
Micro-motion classification of flying bird and rotor drones via data augmentation and modified multi-scale cnn
X Chen, H Zhang, J Song, J Guan, J Li, Z He - Remote Sensing, 2022 - mdpi.com
Aiming at the difficult problem of the classification between flying bird and rotary-wing drone
by radar, a micro-motion feature classification method is proposed in this paper. Using K …
by radar, a micro-motion feature classification method is proposed in this paper. Using K …
Intelligent reflecting surface-based non-LOS human activity recognition for next-generation 6G-enabled healthcare system
Human activity monitoring is a fascinating area of research to support autonomous living in
the aged and disabled community. Cameras, sensors, wearables, and non-contact …
the aged and disabled community. Cameras, sensors, wearables, and non-contact …
Efficient discrimination of ballistic targets with micromotions
IO Choi, SH Park, M Kim, KB Kang… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
The micro-Doppler phenomenon in the echo signal received from a ballistic target (BT) with
micro-motion is commonly used to discriminate BTs such as warheads and decoys. The joint …
micro-motion is commonly used to discriminate BTs such as warheads and decoys. The joint …
Potential active shooter detection based on radar micro-Doppler and range-Doppler analysis using artificial neural network
This paper presents a detection method of remotely identifying a potential active shooter
with a concealed rifle/shotgun based on radar micro-Doppler and range-Doppler signature …
with a concealed rifle/shotgun based on radar micro-Doppler and range-Doppler signature …
Single-frame vulnerable road users classification with a 77 GHz FMCW radar sensor and a convolutional neural network
R Pérez, F Schubert, R Rasshofer… - 2018 19th International …, 2018 - ieeexplore.ieee.org
Road traffic accidents accounted in 2013 for over a million deaths worldwide. Pedestrians
and cyclists are especially vulnerable in road accidents and therefore it is essential to …
and cyclists are especially vulnerable in road accidents and therefore it is essential to …