Email this article A Method of Helical Wave Front Demultiplexing
- Authors: Stankevich D.A.1
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Affiliations:
- Volgograd State University
- Issue: Vol 45, No 2 (2019)
- Pages: 126-128
- Section: Article
- URL: https://journals.rcsi.science/1063-7850/article/view/208211
- DOI: https://doi.org/10.1134/S1063785019020330
- ID: 208211
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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.
About the authors
D. A. Stankevich
Volgograd State University
Author for correspondence.
Email: stankevich@volsu.ru
Russian Federation, Volgograd, 400062
