Results 91 to 100 of about 18,380 (225)

From Detection to Countermeasure: A Review of Key Technologies in Counter‐Unmanned Aerial Vehicle Systems

IET Cyber-Systems and Robotics, Volume 8, Issue 1, January/December 2026.
ABSTRACT With the rapid proliferation of unmanned aerial vehicles (UAVs) in the military, logistics and public safety sectors, the threat of illegal intrusion, information theft, and security breaches has increased. This paper provides a comprehensive review of recent developments in counter‐unmanned aerial vehicle (counter‐UAV) systems, focussing on ...
Lei Xing, Can Cui, Miao Wang, Chao Xu
wiley   +1 more source

Enhanced Multi-Channel Feature Synthesis for Hand Gesture Recognition Based on CNN With a Channel and Spatial Attention Mechanism

IEEE Access, 2020
Millimeter-wave (MMW) radar hand gesture recognition technology is becoming important in many electronic device control applications. Currently, most existing approaches utilize the radical and micro-Doppler features from single-channel MMW radar, which ...
Chuan Du, Lei Zhang, Xiping Sun, Junxu Wang, Jialian Sheng   +4 more
doaj   +1 more source

Improved Micro Rain Radar snow measurements using Doppler spectra post-processing [PDF]

, 2012
The Micro Rain Radar 2 (MRR) is a compact Frequency Modulated Continuous Wave (FMCW) system that operates at 24 GHz. The MRR is a low-cost, portable radar system that requires minimum supervision in the field.
M. Maahn, P. Kollias
core   +1 more source

UAV‐Radar‐Based Through‐Wall Human Activity Recognition via Frequency‐Selective STFT‐ResNet

Electronics Letters, Volume 62, Issue 1, January/December 2026.
This letter presents a UAV‐mounted radar system for through‐wall human activity recognition in high‐rise buildings. By combining STFT‐based spectrogram processing with a frequency‐selective ResNet18 network, the method effectively filters noisy subcarriers and classifies activities with high accuracy. Experimental results demonstrate 98.08% recognition
Chenghao Wang, Juan Chen, Yuemeng Yin, Xing Cheng, Dandan Cheng   +4 more
wiley   +1 more source

Discrimination Between Car Trunk and Child Motion Using Time‐Domain Kurtosis and Skewness Features for In‐Vehicle Child Presence Detection

Electronics Letters, Volume 62, Issue 1, January/December 2026.
Child‐presence detection systems based on ultra‐wideband radar can suffer false alarms when trunk‐lid motion resembles in‐cabin human activity. We propose a lightweight streaming time‐domain detector that uses sliding‐window skewness and kurtosis of the radar amplitude to distinguish stationary trunk plateaus from irregular human motion without ...
Wenxuan He, Lin Sun
wiley   +1 more source

Micro‐motion parameters extraction of rotating target based on analytical solution in vortex electromagnetic wave radar

IET Radar, Sonar & Navigation
The linear Doppler effect and angular Doppler effect in vortex electromagnetic wave radar echoes can be used to extract comprehensive micro‐motion parameters.
Hang Yuan, Yi‐Jun Chen, Ying Luo, Jia Liang, Ying‐Xi Liu, Dan Wang   +5 more
doaj   +1 more source

Classification of Drones Based on Micro-Doppler Radar Signatures Using Dual Radar Sensors

Leida xuebao, 2018
Classification of drones is important due to their increasing popularity and potential threats. The micro-Doppler signatures that depend on the rotation of rotor blades facilitate the classification of drones.
Zhang Pengfei, Li Gang, Huo Chaoying, Yin Hongcheng   +3 more
doaj   +1 more source

Computationally Efficient Pruning Before Training Scheme for SNN‐Based Radar Gesture Recognition

Electronics Letters, Volume 62, Issue 1, January/December 2026.
In this work, we propose a Spike Timing‐driven Pruning before Training (ST‐PBT) method for radar‐based human gesture recognition. The proposed ST‐PBT performs a single‐shot pruning at the model initialisation, avoiding the expensive computational cost and compression time incurred in the model pre‐training. Furthermore, the ST‐PBT introduces a gradient‐
Mengjun Zhang, Bin Li, Hongfu Liu, Chenglin Zhao   +3 more
wiley   +1 more source

Cloud boundary height measurements using lidar and radar

, 2003
Using only lidar or radar an accurate cloud boundary height estimate is often not possible. The combination of lidar and radar can give a reliable cloud boundary estimate in a much broader range of cases.
Andre van Lammeren, Apituley, Arnoud Apituley, Boers, Danne, Erkelens, Frisch, Hermann Russchenberg, KNMI, Lammeren, Leo Ligthart, Rogers, Sassen, Sassen, Sassen, Thomas, Venema, Venema, Victor Venema, Weitkamp   +19 more
core   +1 more source

Adaptive Multi‐Feature Validation Algorithm for Hovering UAV Detection via LFMCW Radar: Leveraging Micro‐Doppler Spectral Characteristics

IET Radar, Sonar &Navigation, Volume 20, Issue 1, January/December 2026.
The document proposes the micro‐Doppler spectral feature‐guided LFMCW radar detection algorithm (MDSF‐LRDA) to solve the high false alarm problem of detecting hovering rotor UAVs in cluttered environments, a limitation that plagues traditional radar methods relying on significant Doppler shifts.
Tao Chen, Jianbo Zhao, Lutao Liu
wiley   +1 more source