An Algorithm for Estimating the Signal Frequency at the Output of a Channel with a Controlled Information Flow under Phase Noise Conditions

Research in the field of efficient frequency estimation algorithms is of great interest. The reason for this is the redistribution of the role of additive and phase noise in many modern radio-engineering applications. An example is the area of measuring radio devices, which usually operate at high s...

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Main Authors: Leonid Nikolaevich Kazakov, Evgenii Pavlovich Kubyshkin, Ilya Victorovich Lukyanov
Format: Article
Language:English
Published: Yaroslavl State University 2021-12-01
Series:Моделирование и анализ информационных систем
Subjects:
Online Access:https://www.mais-journal.ru/jour/article/view/1570
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author Leonid Nikolaevich Kazakov
Evgenii Pavlovich Kubyshkin
Ilya Victorovich Lukyanov
author_facet Leonid Nikolaevich Kazakov
Evgenii Pavlovich Kubyshkin
Ilya Victorovich Lukyanov
author_sort Leonid Nikolaevich Kazakov
collection DOAJ
description Research in the field of efficient frequency estimation algorithms is of great interest. The reason for this is the redistribution of the role of additive and phase noise in many modern radio-engineering applications. An example is the area of measuring radio devices, which usually operate at high signal-to-noise ratios (SNR). The estimation error is largely determined not by the broadband noise, but by the frequency and phase noise of the local oscillators of the receiving and transmitting devices. In particular, earlier works \\cite{Nikiforov} proposed an efficient computational algorithm for estimating the frequency of a quasi-harmonic signal based on the iterative calculation of the autocorrelation sequence (ACS). In \\cite{Volkov}, this algorithm was improved and its proximity to the Rao-Cramer boundary was shown (the sources of this noise are master oscillators and frequency synthesizers). Possibilities of frequency estimation in radio channels make it possible to significantly expand the functionality of the entire radio network. This can include, for example, the problem of adaptive distribution of information flows of a radio network. This also includes the tasks of synchronization and coherent signal processing. For these reasons, more research is needed on this algorithm, the calculation of theoretical boundaries and their comparison with the simulation results.
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spelling doaj.art-4d8288b7e74a49f5810e41516023d9892023-03-13T08:07:35ZengYaroslavl State UniversityМоделирование и анализ информационных систем1818-10152313-54172021-12-0128445246110.18255/1818-1015-2021-4-452-4611201An Algorithm for Estimating the Signal Frequency at the Output of a Channel with a Controlled Information Flow under Phase Noise ConditionsLeonid Nikolaevich Kazakov0Evgenii Pavlovich Kubyshkin1Ilya Victorovich Lukyanov2Ярославский государственный университет им. П. Г. ДемидоваЯрославский государственный университет им. П. Г. ДемидоваООО «НПП «ЛАМА»Research in the field of efficient frequency estimation algorithms is of great interest. The reason for this is the redistribution of the role of additive and phase noise in many modern radio-engineering applications. An example is the area of measuring radio devices, which usually operate at high signal-to-noise ratios (SNR). The estimation error is largely determined not by the broadband noise, but by the frequency and phase noise of the local oscillators of the receiving and transmitting devices. In particular, earlier works \\cite{Nikiforov} proposed an efficient computational algorithm for estimating the frequency of a quasi-harmonic signal based on the iterative calculation of the autocorrelation sequence (ACS). In \\cite{Volkov}, this algorithm was improved and its proximity to the Rao-Cramer boundary was shown (the sources of this noise are master oscillators and frequency synthesizers). Possibilities of frequency estimation in radio channels make it possible to significantly expand the functionality of the entire radio network. This can include, for example, the problem of adaptive distribution of information flows of a radio network. This also includes the tasks of synchronization and coherent signal processing. For these reasons, more research is needed on this algorithm, the calculation of theoretical boundaries and their comparison with the simulation results.https://www.mais-journal.ru/jour/article/view/1570граница рао-крамераавтокорреляционная функциячастотная нестабильностьфазовый шуминформация фишера
spellingShingle Leonid Nikolaevich Kazakov
Evgenii Pavlovich Kubyshkin
Ilya Victorovich Lukyanov
An Algorithm for Estimating the Signal Frequency at the Output of a Channel with a Controlled Information Flow under Phase Noise Conditions
Моделирование и анализ информационных систем
граница рао-крамера
автокорреляционная функция
частотная нестабильность
фазовый шум
информация фишера
title An Algorithm for Estimating the Signal Frequency at the Output of a Channel with a Controlled Information Flow under Phase Noise Conditions
title_full An Algorithm for Estimating the Signal Frequency at the Output of a Channel with a Controlled Information Flow under Phase Noise Conditions
title_fullStr An Algorithm for Estimating the Signal Frequency at the Output of a Channel with a Controlled Information Flow under Phase Noise Conditions
title_full_unstemmed An Algorithm for Estimating the Signal Frequency at the Output of a Channel with a Controlled Information Flow under Phase Noise Conditions
title_short An Algorithm for Estimating the Signal Frequency at the Output of a Channel with a Controlled Information Flow under Phase Noise Conditions
title_sort algorithm for estimating the signal frequency at the output of a channel with a controlled information flow under phase noise conditions
topic граница рао-крамера
автокорреляционная функция
частотная нестабильность
фазовый шум
информация фишера
url https://www.mais-journal.ru/jour/article/view/1570
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