[HTML][HTML] Convolutional Neural Network and Ensemble Learning-Based Unmanned Aerial Vehicles Radio Frequency Fingerprinting Identification

Y Zheng, X Zhang, S Wang, W Zhang - Drones, 2024 - mdpi.com
With the rapid development of the unmanned aerial vehicles (UAVs) industry, there is
increasing demand for UAV surveillance technology. Automatic Dependent Surveillance …

Effectiveness Analysis of Fuzzy Quasi-Optimal Control Laws for UAV Orientation in a Turbulent Atmosphere

A Kostoglotov, M Nakonechnaya… - 2024 International …, 2024 - ieeexplore.ieee.org
Multirotor unmanned aerial vehicles (UAVs) function in different modes of flight, which
justifies the relevance of using multi-mode control. When flying in a turbulent atmosphere …

Parametric Synthesis of an Adaptive Tracking Filter with Optimization by the Nelder-Mead Method

A Kostoglotov, A Penkov… - 2024 International …, 2024 - ieeexplore.ieee.org
The paper proposes a method for parametric synthesis of the tracking filter. Its structure is
determined by a quasi-optimal model of motion based on the reduction of the Lagrange …

A Hybrid Communication System Using 5G Cellular and ADS-B for UAVs in High-Density Airspaces

CL Karch - 2024 - search.proquest.com
Robust communication is required to provide a safe airspace for the large numbers of
unmanned aerial systems that are coming to the National Airspace System (NAS). This …

低空监视技术及其发展趋势综述.

汤新民, 顾俊伟, 刘冰, 张康 - Journal of Nan**g University …, 2024 - search.ebscohost.com
随着低空经济改革的不断推进, 低空飞行器呈现高密度, 异构性, 自主性, 有人/无人混合运行的新
局面. 低空监视作为低空运行安全的重要保障, 可以保证飞行器低空安全高效运行 …

[PDF][PDF] Integrating High-Volume Unmanned Autonomous Vehicle Operations in Civil Airspace

EJ Schellekens - 2024 - repository.tudelft.nl
First, I want to extend my gratitude to my supervisors at Delft University of Technology, Bart
van Arem and Frank Guldenmund. Their diverse expertise allowed me to employ a range of …