Radio Frequency-Based Drone Detection and Classification using Deep Learning Algorithms-Reference-Cited by-同舟云学术

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Radio Frequency-Based Drone Detection and Classification using Deep Learning Algorithms

Published:2023-09-21 Issue: Volume: Page:
ISSN:
Container-title:2023 International Conference on Software, Telecommunications and Computer Networks (SoftCOM)
language:
Short-container-title:

Author:

Nelega Raluca¹,Turcu Romulus Valeriu Flaviu²,Belean Bogdan³,Puschita Emanuel¹

Affiliation:

1. Technical University of Cluj-Napoca & Center for Advanced Research and Technologies for Alternative Energy, National Institute for Research and Development of Isotopic and Molecular Technologies,Communications Department,Cluj-Napoca,Romania

2. Babes-Bolyai University & Center for Advanced Research and Technologies for Alternative Energy, National Institute for Research and Development of Isotopic and Molecular Technologies,Biomolecular Physics,Cluj-Napoca,Romania

3. National Institute for Research and Development of Isotopic and Molecular Technologies,Center for Advanced Research and Technologies for Alternative Energy,Cluj-Napoca,Romania

Funder

Research and Development

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10271384/10271386/10271669.pdf?arnumber=10271669

Reference25 articles.

1. Drone and Controller Detection and Localization: Trends and Challenges

2. Drone classification and identification system by phenome analysis using data mining techniques

3. Drone classification using RF signal based spectral features;k?l?ç;Eng Sci Technol Int J,2022

4. Drone detection by acoustic signature identification

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