METHOD OF DETECTION OF DIGITAL RADIO SIGNALS USING DIFFERENTIAL CONVERSION

In industrial intelligence, embedded devices with radio channels, known as radio jamming devices, are commonly used to covertly intercept and transmit information.These devices utilize electromagnetic waves, which can travel long distances undetected, making remote surveillance possible.Detecting their signals is therefore a critical scientific challenge.This report addresses the problem by proposing a method for detecting random signals from hidden transmitters.The approach is based on differential signal transformations within correlation theory.It is proven that this method accurately determines the correlation function, showing that a hidden transmitter's signal comprises the sum of all discrete components of the differential spectrum.This enables the identification of its parameters, distinguishing it from other random signals in the tested radio range.Simulations confirmed the method's effectiveness by providing numerical parameters and graphical results, validating its reliability in detecting hidden transmitters.

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Publication Details

Journal
Modern information security
Published
2025-01-01
DOI
https://doi.org/10.31673/2409-7292.2025.014329
Citations
1
Primary Topic
Transportation Systems and Safety
Type
article
Field-Weighted Citation Impact
3.54
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article

METHOD OF DETECTION OF DIGITAL RADIO SIGNALS USING DIFFERENTIAL CONVERSION

1 citations
Modern information security
Transportation Systems and Safety
3.54
article

METHOD OF DETECTION OF DIGITAL RADIO SIGNALS USING DIFFERENTIAL CONVERSION

article en
1 citations

Abstract

In industrial intelligence, embedded devices with radio channels, known as radio jamming devices, are commonly used to covertly intercept and transmit information.These devices utilize electromagnetic waves, which can travel long distances undetected, making remote surveillance possible.Detecting their signals is therefore a critical scientific challenge.This report addresses the problem by proposing a method for detecting random signals from hidden transmitters.The approach is based on differential signal transformations within correlation theory.It is proven that this method accurately determines the correlation function, showing that a hidden transmitter's signal comprises the sum of all discrete components of the differential spectrum.This enables the identification of its parameters, distinguishing it from other random signals in the tested radio range.Simulations confirmed the method's effectiveness by providing numerical parameters and graphical results, validating its reliability in detecting hidden transmitters.

Modern information securityVol. 61(1)
Taras Shevchenko National University of Kyiv (UA), State University of Information and Communication Technologies (UA)
Affordable and clean energy
Openalex Percentile: Top 10%
Transportation Systems and Safety
3.54
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