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A Method of Helical Wave Front Demultiplexing

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Abstract

Machine learning methods were used to construct a demultiplexer for helical wave front separation into orthogonal modes. The accuracy of wave front demultiplexing into eight modes at a signal-to-noise ratio of –3 dB is about 95% in a broad range of signal carrier frequencies. For nonstationary parameters of signals, the proposed demultiplexer accuracy exceeds that of the classical correlation method.

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Authors and Affiliations

  1. Volgograd State University, 400062, Volgograd, Russia

    D. A. Stankevich

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  1. D. A. Stankevich
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Correspondence to D. A. Stankevich.

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Translated by P. Pozdeev

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Stankevich, D.A. A Method of Helical Wave Front Demultiplexing. Tech. Phys. Lett. 45, 126–128 (2019). https://doi.org/10.1134/S1063785019020330

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  • DOI: https://doi.org/10.1134/S1063785019020330

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