Radar target characterization and deep learning in radar automatic target recognition: A review

W Jiang, Y Wang, Y Li, Y Lin, W Shen - Remote Sensing, 2023 - mdpi.com
Radar automatic target recognition (RATR) technology is fundamental but complicated
system engineering that combines sensor, target, environment, and signal processing …

DIAT-RadSATNet—A novel lightweight DCNN architecture for micro-Doppler-based small unmanned aerial vehicle (SUAV) targets' detection and classification

HC Kumawat, M Chakraborty… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Due to the smaller size, low cost, and easy operational features, small unmanned aerial
vehicles (SUAVs) become more popular for various defense as well as civil applications …

[HTML][HTML] A lightweight model for wheat ear fusarium head blight detection based on RGB images

Q Hong, L Jiang, Z Zhang, S Ji, C Gu, W Mao, W Li… - Remote Sensing, 2022 - mdpi.com
Detection of the Fusarium head blight (FHB) is crucial for wheat yield protection, with precise
and rapid FHB detection increasing wheat yield and protecting the agricultural ecological …

Echoformer: Transformer architecture based on radar echo characteristics for UAV detection

Y Yang, F Yang, L Sun, T Xiang, P Lv - IEEE Sensors Journal, 2023 - ieeexplore.ieee.org
While recent years have witnessed an increasing number of commercial applications of
unmanned aerial vehicles (UAVs), an imperative problem people have to face is the rapid …

Near-field micro-Doppler effect and spectrum characteristics of rotating targets: Theoretical analysis and parameter estimation method

W Li, Y Xiong, C Wei, P Chen, D Liang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Micro-Doppler effect is of great significance in radar-based rotating target detection,
classification, and micromotion monitoring leveraging on the containing rich physical …

Specific Human Following by Residual-Bi-LSTM-Based Distributed Module UWB Network and Residual-RNN-Based Finite-Time Control

CL Hwang, TY Wu, SE Pu - IEEE Transactions on Industrial …, 2023 - ieeexplore.ieee.org
To implement the specific human following (SHF) task in a global GPS-denied environment
(eg, airport, hotel, hospital, inventory area, office, library), a distributed module ultra …

Multi-Agent Reinforcement Learning-Based Resource Allocation Scheme for UAV-Assisted Internet of Remote Things Systems

D Lee, YG Sun, SH Kim, JH Kim, Y Shin, DI Kim… - IEEE …, 2023 - ieeexplore.ieee.org
Multi-layered communication networks including satellites and unmanned aerial vehicles
(UAVs) with remote sensing capability are expected to be an essential part of next …

Person Identification Based on Fine-Grained Micro-Doppler Signatures and UWB Radar

Y He, H Guo, X Zhang, R Li, Y Lang… - IEEE Sensors …, 2023 - ieeexplore.ieee.org
Person identification plays a vital role in preventing terrorist attacks and identifying illegal
intrusions. In recent years, researchers have shown an increasing interest in radar-based …

Circular synthetic aperture radar sub‐aperture angle information complementation based on azimuth‐controllable generative adversarial network

B Li, Y Ma, L Chu, W Li, Y Shi - IET Radar, Sonar & Navigation, 2024 - Wiley Online Library
A conditional generative adversarial network (CGAN) framework is proposed to address the
issue of incomplete circular synthetic aperture radar (CSAR) azimuthal information due to …

A Long-Term Recurrent Convolutional Network for SNR Estimation of Cone-Shaped Target

X Xu, C Feng - IEEE Antennas and Wireless Propagation …, 2023 - ieeexplore.ieee.org
Signal-to-noise ratio (SNR) is an important prior information for many micro-motion echo
processing approaches and techniques. Estimating SNR in advance can effectively …