Vasily Yatseev

Dr. Vasily Yatseev

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Research Focus & Metrics

Academic Career Length

7Years (2020-Present)

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

Representative Publications

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22 August 2024 in Sensors
Verified
Journal Article
Open access
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Ivan LobachIvan Lobach
Ivan Lobach
AFAndrei Fotiadi
Andrei Fotiadi
VYVasily Yatseev
Vasily Yatseev
Yuri Aleksandrovich KonstantinovYuri Aleksandrovich Konstantinov
Yuri Aleksandrovich Konstantinov
Fedor BarkovFedor Barkov
Fedor Barkov
DKDmitry A. Korobko
Dmitry A. Korobko
In this review, we summarize the latest advances in the design of optical frequency-domain reflectometers (OFDRs), digital signal processing, and sensors based on special optical fibers. We discuss state-of-the-art approaches to improving metrological characteristics, such as spatial resolution, SNR, dynamic range, and the accuracy of determining back reflection coefficients. We also analyze the latest achievements in the OFDR-based sensors: the accuracy of spatial localization of the impact, the error in detecting temperatures, deformation, and other quantities, and the features of separate measurement of various physical quantities. We also pay attention to the trend of mutual integration of frequency-domain optical reflectometry methods with time-domain optical reflectometry, which provides completely new sensing possibilities. We believe that this review may be useful to engineers and scientists focused on developing a lab setup, complete measurement instrument, or sensing system with specific requirements.

1 August 2020 in Measurement Techniques
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Journal Article
Closed access
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DSD. S. Semenov
D. S. Semenov
VYVasily Yatseev
Vasily Yatseev
EAE. S. Akhmad
E. S. Akhmad
YVYuriy Vasilev
Yuriy Vasilev
KSK. A. Sergunova
K. A. Sergunova
APAlexey Vl. Petraikin
Alexey Vl. Petraikin

4 March 2024 in Sensors
Verified
Journal Article
Open access
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VYVasily Yatseev
Vasily Yatseev
OBOleg V. Butov
Oleg V. Butov
APAlexey Borisovich Pnev
Alexey Borisovich Pnev
This paper is dedicated to the investigation of the metrological properties of phase-sensitive reflectometric measurement systems, with a particular focus on addressing the non-uniformity of responses along optical fibers. The authors highlight challenges associated with the stochastic distribution of Rayleigh reflectors in fiber optic systems and propose a methodology for assessing response non-uniformity using both cross-correlation algorithms and machine learning approaches, using chirped-reflectometry as an example. The experimental process involves simulating deformation impact by altering the light source’s wavelength and utilizing a chirped-reflectometer to estimate response non-uniformity. This paper also includes a comparison of results obtained from cross-correlation and neural network-based algorithms, revealing that the latter offers more than 34% improvement in accuracy when measuring phase differences. In conclusion, the study demonstrates how this methodology effectively evaluates response non-uniformity along different sections of optical fibers.

1 December 2023 in Journal of Radio Electronics
Verified
Journal Article
Open access
PDF file
VYVasily Yatseev
Vasily Yatseev
1R125009 Kotelnikov Ire Ras
125009 Kotelnikov Ire Ras
OBOleg V. Butov
Oleg V. Butov