Singlemode-Multimode-Singlemode Fiber-Optic Interferometer Signal Demodulation Using MUSIC Algorithm and Machine Learning
The paper is aimed at improving the efficiency of signal processing for intermode fiber-optic interferometers. To do so, we propose to use the MUSIC algorithm. It is shown that the use of traditional methods for estimating the number of signal components leads to poor operation of the MUSIC algorith...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-11-01
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| Series: | Photonics |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2304-6732/9/11/879 |
| _version_ | 1797464225058127872 |
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| author | Nikolai Ushakov Aleksandr Markvart Leonid Liokumovich |
| author_facet | Nikolai Ushakov Aleksandr Markvart Leonid Liokumovich |
| author_sort | Nikolai Ushakov |
| collection | DOAJ |
| description | The paper is aimed at improving the efficiency of signal processing for intermode fiber-optic interferometers. To do so, we propose to use the MUSIC algorithm. It is shown that the use of traditional methods for estimating the number of signal components leads to poor operation of the MUSIC algorithm when applied to intermode interference signals. The possibility of using machine learning to estimate the number of signal components was investigated. The advantage of the proposed signal processing for demodulating the signals of an intermode interferometer over the Fourier transform has been experimentally demonstrated on the examples of simultaneous strain and curvature measurement, as well as pulse-wave sensing. The results can be also applied for processing signals of other optical-fiber sensors and multi-component signals of a different nature, for example, optical coherence tomography and radar signals. |
| first_indexed | 2024-03-09T18:04:00Z |
| format | Article |
| id | doaj.art-6d608f05c2364004a7880dfdb8f14fc3 |
| institution | Directory Open Access Journal |
| issn | 2304-6732 |
| language | English |
| last_indexed | 2024-03-09T18:04:00Z |
| publishDate | 2022-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Photonics |
| spelling | doaj.art-6d608f05c2364004a7880dfdb8f14fc32023-11-24T09:38:03ZengMDPI AGPhotonics2304-67322022-11-0191187910.3390/photonics9110879Singlemode-Multimode-Singlemode Fiber-Optic Interferometer Signal Demodulation Using MUSIC Algorithm and Machine LearningNikolai Ushakov0Aleksandr Markvart1Leonid Liokumovich2Institute of Electronics and Telecommunications, Peter the Great St. Petersburg Polytechnic University, 195251 St. Petersburg, RussiaInstitute of Electronics and Telecommunications, Peter the Great St. Petersburg Polytechnic University, 195251 St. Petersburg, RussiaInstitute of Electronics and Telecommunications, Peter the Great St. Petersburg Polytechnic University, 195251 St. Petersburg, RussiaThe paper is aimed at improving the efficiency of signal processing for intermode fiber-optic interferometers. To do so, we propose to use the MUSIC algorithm. It is shown that the use of traditional methods for estimating the number of signal components leads to poor operation of the MUSIC algorithm when applied to intermode interference signals. The possibility of using machine learning to estimate the number of signal components was investigated. The advantage of the proposed signal processing for demodulating the signals of an intermode interferometer over the Fourier transform has been experimentally demonstrated on the examples of simultaneous strain and curvature measurement, as well as pulse-wave sensing. The results can be also applied for processing signals of other optical-fiber sensors and multi-component signals of a different nature, for example, optical coherence tomography and radar signals.https://www.mdpi.com/2304-6732/9/11/879intermode interferometerspectral interferometryinterferometrypulse-wave sensingmachine learningoptical fiber sensor |
| spellingShingle | Nikolai Ushakov Aleksandr Markvart Leonid Liokumovich Singlemode-Multimode-Singlemode Fiber-Optic Interferometer Signal Demodulation Using MUSIC Algorithm and Machine Learning Photonics intermode interferometer spectral interferometry interferometry pulse-wave sensing machine learning optical fiber sensor |
| title | Singlemode-Multimode-Singlemode Fiber-Optic Interferometer Signal Demodulation Using MUSIC Algorithm and Machine Learning |
| title_full | Singlemode-Multimode-Singlemode Fiber-Optic Interferometer Signal Demodulation Using MUSIC Algorithm and Machine Learning |
| title_fullStr | Singlemode-Multimode-Singlemode Fiber-Optic Interferometer Signal Demodulation Using MUSIC Algorithm and Machine Learning |
| title_full_unstemmed | Singlemode-Multimode-Singlemode Fiber-Optic Interferometer Signal Demodulation Using MUSIC Algorithm and Machine Learning |
| title_short | Singlemode-Multimode-Singlemode Fiber-Optic Interferometer Signal Demodulation Using MUSIC Algorithm and Machine Learning |
| title_sort | singlemode multimode singlemode fiber optic interferometer signal demodulation using music algorithm and machine learning |
| topic | intermode interferometer spectral interferometry interferometry pulse-wave sensing machine learning optical fiber sensor |
| url | https://www.mdpi.com/2304-6732/9/11/879 |
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