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 …
system engineering that combines sensor, target, environment, and signal processing …
Aerial edge computing: A survey
Q Zhang, Y Luo, H Jiang… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
In the beyond 5G/6G era, aerial edge computing (AEC) is expected to be used as significant
components in Internet of Things. AEC brings flexible deployment with Line-of-Sight …
components in Internet of Things. AEC brings flexible deployment with Line-of-Sight …
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 …
Robust person gait identification based on limited radar measurements using set-based discriminative subspaces learning
Z Ni, B Huang - IEEE Transactions on Instrumentation and …, 2021 - ieeexplore.ieee.org
Building a robust and scalable radar-based person identification system that can accurately
identify registered users and fast enroll new subjects at any time with only limited radar …
identify registered users and fast enroll new subjects at any time with only limited radar …
The MPU RX-4 project: Design, electronics, and software development of a geofence protection system for a fixed-wing vtol uav
Unmanned aerial vehicles (UAVs) are at the forefront of this century's technological shift,
becoming ubiquitous in research and market areas. However, as a UAV navigates …
becoming ubiquitous in research and market areas. However, as a UAV navigates …
Near-field micro-Doppler effect and spectrum characteristics of rotating targets: Theoretical analysis and parameter estimation method
Micro-Doppler effect is of great significance in radar-based rotating target detection,
classification, and micromotion monitoring leveraging on the containing rich physical …
classification, and micromotion monitoring leveraging on the containing rich physical …
Robust visual positioning of the UAV for the under bridge inspection with a ground guided vehicle
Regular defect inspection of the bridge's bottom is necessary for the maintenance of the
bridge. Usually, conducting such an inspection with traditional under bridge inspection …
bridge. Usually, conducting such an inspection with traditional under bridge inspection …
A Federated Digital Twin Framework for UAVs-Based Mobile Scenarios
With the development of communication networks and Artificial Intelligence (AI)
technologies, Digital Twin (DT) now emerges to support various applications such as …
technologies, Digital Twin (DT) now emerges to support various applications such as …
Aerial Target Recognition With Enhanced Micro-Doppler Dynamic Features Based on Frequency Modulated Continuous Wave Radar
Z Wu, H Liu, C Ma, Z Liu - IEEE Sensors Journal, 2023 - ieeexplore.ieee.org
The micro-Doppler (mD) signal generated by the micro-motion of aerial target can be
extracted for recognition. However, the mD signal is weak and prone to be interfered by the …
extracted for recognition. However, the mD signal is weak and prone to be interfered by the …
CSI-based vehicle target recognition and collaborative CNN with data-importance-aware
S Li, D Liu, X Liu, Y Ma, X Gu, Y Fan… - 2022 IEEE 25th …, 2022 - ieeexplore.ieee.org
The introduction of orthogonal frequency division multiplexing (OFDM) and multiple input
multiple output (MIMO) technology enables the new generation of the Internet of Vehicles to …
multiple output (MIMO) technology enables the new generation of the Internet of Vehicles to …