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Анализ применимости метода MUSIC для демодуляции сигналов Ð¼ÐµÐ¶Ð¼Ð¾Ð´Ð¾Ð²Ñ‹Ñ Ð²Ð¾Ð»Ð¾ÐºÐ¾Ð½Ð½Ð¾-Ð¾Ð¿Ñ‚Ð¸Ñ‡ÐµÑÐºÐ¸Ñ Ð¸Ð½Ñ‚ÐµÑ€Ñ„ÐµÑ€Ð¾Ð¼ÐµÑ‚Ñ€Ð¾Ð²

выпускная квалификационная работа бакалавра

Анализ применимости метода MUSIC для демодуляции сигналов Ð¼ÐµÐ¶Ð¼Ð¾Ð´Ð¾Ð²Ñ‹Ñ Ð²Ð¾Ð»Ð¾ÐºÐ¾Ð½Ð½Ð¾-Ð¾Ð¿Ñ‚Ð¸Ñ‡ÐµÑÐºÐ¸Ñ Ð¸Ð½Ñ‚ÐµÑ€Ñ„ÐµÑ€Ð¾Ð¼ÐµÑ‚Ñ€Ð¾Ð²

Abstract

Цель работы – исследовать применимость метода MUSIC для демодуляции сигналов межмодовых волоконно-оптических интерферометров В результате данной выпускной квалификационной работы были исследованы влияние ошибок заданного в методе MUSIC количества сигнальных компонент на точность нахождения частот гармонических компонент, влияние аддитивного шума на точность нахождения параметров гармонических компонент, влияние паразитной частотной модуляции на точность нахождения параметров гармонических компонент. Были сделаны выводы о том, что величина ошибки меньше, если ошибаться в определении числа компонент для MUSIC в меньшую сторону. Уровень аддитивного шума влияет на суммарную ошибку для сигналов с небольшим количеством полезных компонент. Большой уровень паразитной частотной модуляции значительно увеличивает величину суммарной ошибки. Данные выводы были подтверждены экспериментально. Результаты данной выпускной квалификационной работы предоставляют новую информацию о параметрах метода MUSIC и могут быть использованы для обработки сигналов межмодовых волоконно-оптических интерферометров и других волоконных датчиков.

The aim of this research is to investigate the applicability of the MUSIC method for demodulating signals in multimode fiber-optic interferometers. The outcome of this final qualification work involved studying the influence of errors in the specified number of signal components in the MUSIC method on the accuracy of frequency estimation of harmonic components, the impact of additive noise on the accuracy of parameter estimation of harmonic components, and the effect of parasitic frequency modulation on the accuracy of parameter estimation of harmonic components. Conclusions have been drawn indicating that the error magnitude is smaller when underestimating the number of components for MUSIC. The level of additive noise affects the overall error for signals with a small number of useful components. A high level of parasitic frequency modulation significantly increases the magnitude of the overall error. These findings have been experimentally validated. The results of this final qualification work provide new insights into the parameters of the MUSIC method and can be applied in signal processing for multimode fiber-optic interferometers and other fiber-optic sensors.

Keywords

оптическое волокно, optical fiber, matlab, межмодовый интерферометр, fiber-optic sensor, венгреский алгоритм, music method, multimode interferometer, hungarian algorithm, волоконно-оптический датчик, метод music

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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