UAV propeller rotational speed measurement through FMCW radars

G Ciattaglia, G Iadarola, L Senigagliesi, S Spinsante… - Remote Sensing, 2023 - mdpi.com
The growing number of civil applications in which Unmanned Aerial Vehicles (UAVs) are
involved can create many concerns for airspace security and surveillance. Gathering as …

W-band mimo gb-sar for bridge testing/monitoring

L Miccinesi, T Consumi, A Beni, M Pieraccini - Electronics, 2021 - mdpi.com
Interferometric radars are widely used for static and dynamic monitoring of large structures
such as bridges, culverts, wind turbine towers, chimneys, masonry towers, stay cables …

Enabling High-Resolution Micro-Vibration Detection Using Ground-Based Synthetic Aperture Radar: A Case Study for Pipeline Monitoring

B Hosseiny, J Amini, H Aghababaei, G Ferraioli - Remote Sensing, 2023 - mdpi.com
The wellbeing of pipelines is influenced by a range of factors, such as internal and external
pressures, as well as deterioration over time due to issues like erosion and corrosion. It is …

Cooperative automotive radars with multi-aperture multiplexing MIMO sparse array design

C Liang, Y Wang, Z Yang, X Hu, Q Pei, W Gu, L Zhang - Electronics, 2022 - mdpi.com
In this paper, a multi-aperture multiplexing multiple-input multiple-output (MAM-MIMO)
sparse array is presented for cooperative automotive radars (CARs). The proposed sparse …

Spectral estimation model for linear displacement and vibration monitoring with GBSAR system

B Hosseiny, J Amini, H Aghababaei - Mechanical Systems and Signal …, 2024 - Elsevier
In recent years, there has been a growing interest in the development of ground-based
Synthetic Aperture Radars (GBSAR) for the purpose of monitoring structural displacements …

A new estimation method for rotor size of UAV based on peak time-shift effect in micro-Doppler LiDAR

Y Zhang, D Li, Y Han, Z Yang, X Dai, X Guo… - Frontiers in …, 2022 - frontiersin.org
The aim of this study was to solve the problem that the existing identification parameters of
rotor unmanned aerial vehicles (UAVs) are few and limited by the detection mode, and an …

[HTML][HTML] A Point Cloud Improvement Method for High-Resolution 4D mmWave Radar Imagery

Q Wan, H Peng, X Liao, W Li, K Liu, J Mao - Remote Sensing, 2024 - mdpi.com
To meet the requirement of autonomous driving development, high-quality point cloud
generation of the environment has become the focus of 4D mmWave radar development. On …

Object classification on noise-reduced and augmented micro-doppler radar spectrograms

A Erdoğan, S Güney - Neural Computing and Applications, 2023 - Springer
The classification of targets is one of the most challenging tasks in radar signal processing.
Classifying a target can help radar operators figure out the nature of the target, such as its …

Drone classification using mmWave micro-Doppler radar measurements

G Ciattaglia, L Senigagliesi, D Alidori… - 2022 IEEE 9th …, 2022 - ieeexplore.ieee.org
As the number of drones, or Unmanned Aerial Vehicles (UAVs), rapidly rises, their detection
becomes a very important task in outdoor surveillance, to prevent accidents or inappropriate …

Slow-time mmWave radar vibrometry for drowsiness detection

G Ciattaglia, S Spinsante… - 2021 IEEE International …, 2021 - ieeexplore.ieee.org
During each year many road accidents are caused by the drowsiness of the driver: for this
reason, to equip each car with a system that can alert the driver about a drowsiness event …