Advanced air mobility: Research directions for communications, navigation, and surveillance

K Namuduri, UC Fiebig, DW Matolak… - IEEE Vehicular …, 2022 - ieeexplore.ieee.org
Advanced air mobility (AAM) is an emerging industry focus as well as a research and
development discipline. Innovations and technologies resulting from AAM will change the …

[HTML][HTML] Drone Detection and Tracking Using RF Identification Signals

D Aouladhadj, E Kpre, V Deniau, A Kharchouf… - Sensors, 2023 - mdpi.com
The market for unmanned aerial systems (UASs) has grown considerably worldwide, but
their ability to transmit sensitive information poses a threat to public safety. To counter these …

[HTML][HTML] Improved radar detection of small drones using doppler signal-to-clutter ratio (DSCR) detector

J Gong, J Yan, H Hu, D Kong, D Li - Drones, 2023 - mdpi.com
The detection of drones using radar presents challenges due to their small radar cross-
section (RCS) values, slow velocities, and low altitudes. Traditional signal-to-noise ratio …

Autonomous Navigation for eVTOL: Review and Future Perspectives

H Wei, B Lou, Z Zhang, B Liang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
This survey paper explores the emergent domain of electric vertical takeoff and landing
vehicles (eVTOLs), emphasizing the critical role of autonomous navigation capabilities …

Comparative analysis of radar-cross-section-based UAV recognition techniques

M Ezuma, CK Anjinappa, V Semkin… - IEEE Sensors …, 2022 - ieeexplore.ieee.org
This work investigates the problem of unmanned aerial vehicle (UAV) recognition using their
radar cross section (RCS) signature. The RCS of six commercial UAVs is measured at 15 …

[HTML][HTML] Rényi entropy-based adaptive integration method for 5g-based passive radar drone detection

R Maksymiuk, K Abratkiewicz, P Samczyński, M Płotka - Remote Sensing, 2022 - mdpi.com
This paper presents the first successful drone detection results using a 5G network as a
source of illumination in a passive radar system. Furthermore, a novel adaptive strategy for …

[HTML][HTML] A deep learning model of radio wave propagation for precision agriculture and sensor system in greenhouses

D Cama-Pinto, M Damas, JA Holgado-Terriza… - Agronomy, 2023 - mdpi.com
The production of crops in greenhouses will ensure the demand for food for the world's
population in the coming decades. Precision agriculture is an important tool for this purpose …

Comparative analysis of radar cross section based UAV classification techniques

M Ezuma, CK Anjinappa, V Semkin… - arXiv preprint arXiv …, 2021 - arxiv.org
This work investigates the problem of unmanned aerial vehicles (UAVs) identification using
their radar crosssection (RCS) signature. The RCS of six commercial UAVs are measured at …

[HTML][HTML] Small fixed-wing UAV radar cross-section signature investigation and detection and classification of distance estimation using realistic parameters of a …

IK Kapoulas, A Hatziefremidis, AK Baldoukas… - Drones, 2023 - mdpi.com
Various types of small drones constitute a modern threat for infrastructure and hardware, as
well as for humans; thus, special-purpose radar has been developed in the last years in …

Radar detection performance prediction using measured UAVs RCS data

M Rosamilia, A Balleri, A De Maio… - … on Aerospace and …, 2022 - ieeexplore.ieee.org
This article presents measurements of radar cross section (RCS) of five unmanned aerial
vehicles (UAVs), comprising both consumer grade and professional small drones, collected …