Oleg Kotov

Prof. Oleg Kotov

orcid

Research Focus & Metrics

Academic Career Length

37Years (1990-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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23 June 2015 in Journal of Lightwave Technology
Verified
Journal Article
Closed access
Leonid LiokumovichLeonid Liokumovich
Leonid Liokumovich
Nikolai UshakovNikolai Ushakov
Nikolai Ushakov
OKOleg Kotov
Oleg Kotov
MBMikhail Bisyarin
Mikhail Bisyarin
AHArthur H. Hartog
Arthur H. Hartog
The paper develops a statistical model for the signals received in phase-sensitive optical time domain reflectometry (OTDR) probed by highly coherent sources. The backscattering process is modelled by a set of discrete scatterers with properly chosen parameters. Explicit equations for calculating the amplitude and the phase of the backscattered signal are obtained. The developed model predicts spectral and autocorrelation characteristics of the amplitude signals that are validated by experimental results. Characteristics of the phase signals, practicable for studying the sensing applications of the OTDR system, are presented and studied as well, demonstrating good correspondence with experiment. A more detailed modelling of distributed vibration sensing systems and their response to disturbances along an optical fiber will be possible as an extension of the developed formalism.

27 December 2017 in Geophysical Prospecting
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Journal Article
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AHA.H. Hartog
A.H. Hartog
Leonid LiokumovichLeonid Liokumovich
Leonid Liokumovich
Nikolai UshakovNikolai Ushakov
Nikolai Ushakov
OKOleg Kotov
Oleg Kotov
TDT. Dean
T. Dean
FEF.V. Englich
F.V. Englich

3 July 2013
Verified
Conference Paper
Closed access
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AHA. H. Hartog
A. H. Hartog
OKOleg Kotov
Oleg Kotov
Leonid LiokumovichLeonid Liokumovich
Leonid Liokumovich

26 July 2018 in Journal of the Optical Society of America B
Verified
Journal Article
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PDF file
OKOleg Kotov
Oleg Kotov
MBMikhail Bisyarin
Mikhail Bisyarin
ICI. E. Chapalo
I. E. Chapalo
APA. V. Petrov
A. V. Petrov
A new method of analytical representation and numerical simulation of multimode fiber interferometer signals is developed. A system of averaged normalized characteristics, called amplitude and spectral characteristics, is introduced for this end. Interferometer signals generated by fiber length variation or laser frequency modulation were investigated at various parameters of the fiber. Joint usage of amplitude and spectral characteristics proved to substantially broaden the dynamical range of measurements of weak and strong external disturbances of the fiber. The method may be used for analysis and design of various optical sensor schemes with multimode fiber interferometers. It is also usable for estimating modal noise characteristics in optical systems with undesirable effects of intermodal interference.

19 November 2019 in Journal of Lightwave Technology
Verified
Journal Article
Closed access
ICIvan Chapalo
Ivan Chapalo
Antreas TheodosiouAntreas Theodosiou
Antreas Theodosiou
Kyriacos KalliKyriacos Kalli
Kyriacos Kalli
OKOleg Kotov
Oleg Kotov

10 January 2017 in Applied Optics
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Journal Article
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MBMikhail Bisyarin
Mikhail Bisyarin
OKOleg Kotov
Oleg Kotov
AHArthur H. Hartog
Arthur H. Hartog
Leonid LiokumovichLeonid Liokumovich
Leonid Liokumovich
Nikolai UshakovNikolai Ushakov
Nikolai Ushakov
The Rayleigh backscattering produced by an incident fundamental mode in a multimode step-index optical fiber was analyzed using a recently developed diffraction technique. The complete set of backward propagating modes, both radial and azimuthal, was determined and regarded. For this type of fiber, normalized mode functions were constructed in an explicit form, thus providing a unified power scale to characterize the relationships between various excited modes. The dependencies of the mode excitation efficiencies on the technical parameters of the fiber and the frequency of the launched radiation were studied. A comparison of the mode excitation efficiencies was performed with those in the fiber with quadratic refractive index profiles.