Spectrum monitoring for radar bands using deep convolutional neural networks

A Selim, F Paisana, JA Arokkiam… - … 2017-2017 IEEE …, 2017 - ieeexplore.ieee.org
In this paper, we present a spectrum monitoring framework for the detection of radar signals
in spectrum sharing scenarios. The core of our framework is a deep Convolutional Neural …

Radio access technology characterisation through object detection

E Fonseca, JF Santos, F Paisana, LA DaSilva - Computer Communications, 2021 - Elsevier
Abstract Radio Access Technology (RAT) classification and monitoring are essential for
efficient coexistence of different communication systems in shared spectrum. Shared …

Spectrum sensing for cognitive radio using deep autoencoder neural network and SVM

A Subekti, HF Pardede, R Sustika - … Conference on Radar …, 2018 - ieeexplore.ieee.org
Cognitive radio is one of solution to increase the efficient usage of frequency by spectrum
sharing. One important compenent in the spectrum sharing is spectrum management …

Real time hardware implementation of cyclostationary spectrum sensing for various modulation types using USRP

HS Abed, HN Abdullah… - 2021 7th International …, 2021 - ieeexplore.ieee.org
Cognitive radio (CR) is an emerging technology to solve the spectrum scarcity problem.
Spectrum sensing is the most important step in CR. Spectrum sensing techniques can be …

CycloDSP: A cyclostationary signal analysis tool for GNU Radio

D Darsena, G Gelli, I Iudice - 2024 IEEE Aerospace …, 2024 - ieeexplore.ieee.org
In this paper, we present a first attempt to incorporate in the GNU Radio ecosystem a tool
called CycloDSP, devoted to the analysis of complex-valued cyclostationary signals. Such …

A novel peak search & save cyclostationary feature detection algorithm

A Badawy, T Khattab - 2014 IEEE Wireless Communications …, 2014 - ieeexplore.ieee.org
Spectrum sensing is a key task in any cognitive radio network. On the other hand, a literature
survey in this topic shows a lack of implementation and testbeds for spectrum sensing …

Intelligent radar signal detection for future generation wireless networks using deep learning

HU Rashid, SH Jeong - 2022 13th International Conference on …, 2022 - ieeexplore.ieee.org
The radio frequency (RF) spectrum is a limited and important resource that is used for
communications and sensing systems. However, as the RF technology becomes more …

Spectrum sensing in satellite cognitive radios: Blind signal detection technique

BM Khan, M Mustaqim, BA Khawaja… - Microwave and …, 2016 - Wiley Online Library
In this article, cyclostationary analysis of the communication satellite signals has been
performed and a simpler spectrum sensing technique using the features in the spectral …

[PDF][PDF] On detection of OFDM signals for cognitive radio applications

DG Allan - 2019 - stax.strath.ac.uk
As the requirement for wireless telecommunications services continues to grow, it has
become increasingly important to ensure that the Radio Frequency (RF) spectrum is …

[PDF][PDF] Interception and Analysis of WCDMA Signals

Y Abdelhamed - PhD's Thesis in Calagary University, 2017 - prism.ucalgary.ca
Intercepting wireless signal has been of a great interest for law enforcement and military
users as it provides precious information about illegal activity or the enemy intention. To …