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Binary Representation of Signal Constellations and its Use for Analyzing Modulated Signals

  • THEORY AND METHODS OF SIGNAL PROCESSING
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Abstract

An analytical method is proposed for describing signal constellations in the form of a functional dependence on a multidimensional vector of binary variables. A transformation is given that allows one to move from the traditional tabular description of modulated signals to the proposed analytical description. The method makes it possible to more compactly describe signals modulated by digital information, especially with a high modulation order, and to identify some patterns in known modulation methods and extend them to higher order modulations. An analytical description of signal constellations makes it possible to synthesize new demodulation algorithms for various communication systems. Simple examples show the advantages of the proposed approach over traditional methods based on tabular representation of signals.

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Notes

  1. Here the symmetry property of the Hadamard matrix is taken into account, i.e., HT = H.

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Funding

The work was prepared on the basis of scientific research carried out with the financial support of the Ministry of Digital Development, Communications, and Mass Communications of the Russian Federation within the framework of the state contract dated 02.26.2021, no. P33-1-26/8, Development of New Non-Orthogonal Access Technology (NOMA) and its Use Together with MIMO Technology for Advanced 6G Communication Systems (code MIMO-NOMA).

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Authors and Affiliations

  1. Moscow Technical University of Communications and Informatics (MTUCI), 111024, Moscow, Russia

    M. G. Bakulin, T. B. K. Ben Rejeb, V. B. Kreindelin, D. Yu. Pankratov & A. E. Smirnov

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  1. M. G. Bakulin
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  2. T. B. K. Ben Rejeb
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  3. V. B. Kreindelin
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  4. D. Yu. Pankratov
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  5. A. E. Smirnov
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Correspondence to V. B. Kreindelin.

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Bakulin, M.G., Ben Rejeb, T.B., Kreindelin, V.B. et al. Binary Representation of Signal Constellations and its Use for Analyzing Modulated Signals. J. Commun. Technol. Electron. 68 (Suppl 3), S284–S293 (2023). https://doi.org/10.1134/S1064226923120045

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