Low-SNR recognition of UAV-to-ground targets based on micro-Doppler signatures using deep convolutional denoising encoders and deep residual learning

L Zhu, S Zhang, K Chen, S Chen… - … on Geoscience and …, 2021 - ieeexplore.ieee.org
The rapid development of flight control technology has made unmanned aerial vehicles
(UAVs) widely used in high-precision strikes on the battlefield. The premise of this is to …

Multilevel recognition of UAV-to-ground targets based on micro-Doppler signatures and transfer learning of deep convolutional neural networks

L Zhu, S Zhang, X Wang, S Chen… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Unmanned aerial vehicles (UAVs) are used in different scenarios. The need for intelligent
and accurate recognition of targets using UAV-based radars is increasingly urgent. As …

Rotor blades micro-Doppler feature analysis and extraction of small unmanned rotorcraft

X Fang, G Xiao - IEEE Sensors Journal, 2020 - ieeexplore.ieee.org
In this article, the micro-Doppler feature analysis and extraction of small unmanned rotorcraft
(SUR) is considered. To be specific, the radar returns from the rotor blades are first modeled …

Classification of UAV-to-ground targets based on enhanced micro-Doppler features extracted via PCA and compressed sensing

L Zhu, S Zhang, Q Ma, H Zhao, S Chen… - IEEE Sensors …, 2020 - ieeexplore.ieee.org
In order to achieve precise operations on specified targets from the unmanned aerial
vehicles (UAVs), classifying ground targets correctly is especially important. Micro-Doppler …

An adaptive channel division MAC protocol for high dynamic UAV networks

Y Ruan, Y Zhang, Y Li, R Zhang… - IEEE Sensors Journal, 2020 - ieeexplore.ieee.org
Nowadays, unmanned aerial vehicle (UAV) has captured great attentions for its versatility,
flexibility, and low-cost. In this paper, we consider a high altitude platform (HAP) assisted …

Prediction of dynamic temperature rise of thermocouple sensors based on genetic algorithm-back propagation neural network

H Wang, H Dong, L Zhang, Y Niu, T Liu… - IEEE Sensors …, 2022 - ieeexplore.ieee.org
Laser-based dynamic calibration of thermocouple sensors is limited by the improper setting
of laser parameters that lead to temperature overshoot damage. To address these problems …

Artificial Intelligence applications in Noise Radar Technology

AL Sénica, PAC Marques… - IET Radar, Sonar & …, 2024 - Wiley Online Library
Radar systems are a topic of great interest, especially due to their extensive range of
applications and ability to operate in all weather conditions. Modern radars have high …

Improved network intrusion classification with attention-assisted bidirectional LSTM and optimized sparse contractive autoencoders

J Bi, Z Guan, H Yuan, J Zhang - Expert Systems with Applications, 2024 - Elsevier
Accurately identifying network intrusion cannot only help individuals and enterprises better
deal with network security problems, but also maintain the Internet environment. This work …

Track-feature-based target classification in passive radar for low-altitude airspace surveillance

W Zhan, J Yi, X Wan, Y Rao - IEEE Sensors Journal, 2021 - ieeexplore.ieee.org
The low-altitude airspace is becoming more and more busy. To ensure low-altitude safety,
non-cooperative systems (eg the passive radars) should be developed in addition to the …

Lightweight Self-Supervised Recognition of Small-Sample Ships Using Micro-Doppler Signatures and UAV-based UWB Radar

L Zhu, Q Zhang, K Chen, Q Ma, S Chen… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
The continuous advancement of shipbuilding technology has enabled the further
development of sea transport and naval vessels, which also poses significant challenges to …