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Characterization of digital modulations using the phase diagram analysis

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Abstract

Digital modulation identification is a challenging and important operation in the security communication field. Identifying properly a digital modulation and its parameters is a key operation in many applications, such as cognitive radio, communication intelligence and dynamic spectrum allocation. However, traditional methods face a stalemate in which the accuracy of the identification process is quite low. Therefore, new descriptors are needed as an alternative solution or to complement the existing ones. Using a new method from the field of nonlinear dynamic systems, namely the phase diagram representation, we want to extract some features to help recognizing the type of used modulations. This method can be used even in noisy backgrounds, with the help of an additional processing algorithm, to give important information about the signal and the used modulation.

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Data availability statement

The data set generated and analysed during the current study is available from the corresponding author on reasonable request.

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Acknowledgements

The authors are grateful to AID-DGA (l’Agence de l’Innovation de Défense à la Direction Générale de l’Armement – Ministère des Armées) & ANR (Agence Nationale de le Recherche en France) for supporting our ANR-ASTRID – Project (ANR-19-ASTR-0005-03).

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Authors and Affiliations

  1. GIPSA-lab, UMR 5216 CNRS, Université Grenoble-Alpes, Grenoble, France

    Denis Stanescu, Dragos Nastasiu & Cornel Ioana

  2. ALTRANS Energy, Grenoble, France

    Cornel Ioana & Angela Digulescu

  3. Telecommunications and Information Technology Department, Military Technical Academy “Ferdinand I”, Bucharest, Romania

    Denis Stanescu, Dragos Nastasiu & Angela Digulescu

Authors
  1. Denis Stanescu
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  2. Dragos Nastasiu
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  3. Cornel Ioana
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  4. Angela Digulescu
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Correspondence to Denis Stanescu.

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Stanescu, D., Nastasiu, D., Ioana, C. et al. Characterization of digital modulations using the phase diagram analysis. Eur. Phys. J. Spec. Top. 232, 187–199 (2023). https://doi.org/10.1140/epjs/s11734-022-00744-x

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