Prof. Xiongyan Tang Profile

Prof. Xiongyan Tang

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Publications (4)

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SPIE Journal Paper | 22 May 2023

Dynamic fault monitoring method for passive optical network

Chuanbiao Zhang, Xiongyan Tang, He Zhang, Min Zhang, Shikui Shen, Shi Yan, Yu Tang

OE, Vol. 62, Issue 05, 054103, (May 2023) https://doi.org/10.1117/12.10.1117/1.OE.62.5.054103

KEYWORDS: Optical fibers, Optical sensing, Reflection, Optical attenuators, Passive optical networks, Equipment, Optical networks, Attenuation, Signal to noise ratio, Signal attenuation

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We experimentally studied a passive optical network dynamic fault monitoring technology based on optical time domain reflectometry (OTDR), focused on various types of network structures with optical splitter (OS) devices, and analyzed the monitoring data with different lengths of fibers in front of the OS, such as 0, 14.5, and 50 km, respectively. Different from previous studies, we found that the new characteristics of echo curve can be used to realize the identification of different fault branches. We also make a detailed analysis on the feasibility of OTDR for multi-branch monitoring and the corresponding situation of instrument parameters. And the similar distance of the event situation is analyzed experimentally. We believe that these research data will provide effective technical reference for the intelligent management of optical networks in the current network.

Proceedings Article | 20 January 2023 Paper

Multi-branch monitoring technology of PON based on OTDR

Chuanbiao Zhang, Xiongyan Tang, Min Zhang, Shikui Shen

Proceedings Volume 12562, 1256202 (2023) https://doi.org/10.1117/12.2642507

KEYWORDS: Optical fibers, Signal attenuation, Optical networks, Optical attenuators, Beam splitters, Optical fiber cables, Networks, Rayleigh scattering, Failure analysis, Statistical analysis

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In this paper, we use the experimental data to verify the technology of Optical Time Domain Reflectometry (OTDR) to realize multi-branch fault monitoring in PON access network. Then the monitoring effects of the two optical splitter structures are analyzed in detail, and the dynamic monitoring of different fault degrees is realized. We prepared single-mode optical fibers, with the length of 10.282 km, 10.768 km, 14.45 km, 25.2 km and 50.38 km respectively. Optical attenuators with different optical attenuation values, like 5 dB and 2 dB, respectively corresponding to different fault degrees of optical fiber link. The fault monitoring of branches with similar distance is analyzed, and the influencing factors such as pulse width are analyzed in detail. In experiments, it can be found that the selection of scanning pulse width has little impact on the identification of event position, but when two adjacent events fold each other due to the increase of attenuation dead zone, the identification of event position cannot be realized. It is believed that these research data can provide valuable reference for the management and maintenance of optical fiber in the actual PON network, and provide valuable data for the promotion of this new technology.

Proceedings Article | 24 November 2021 Paper

A micro optical sensor based on twin-core fiber

Chuanbiao Zhang, Xiongyan Tang, Min Zhang, Tigang Ning, Li Pei, Shikui Shen

Proceedings Volume 12066, 1206608 (2021) https://doi.org/10.1117/12.2602051

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A novel optical fiber sensor based on weak coupling twin-core fiber (TCF) is proposed and experimentally demonstrated. The sensing structure consists of two single mode fibers (SMF) and fabricated by program controlled tapering the spliced region between the first SMF and a segment of TCF. During this period the light power was gradually transferred from the SMF into the cladding mode near the waist zone, after the waist zone, the optical power was gradually concentrated from the cladding mode into the cores mode, which could affect the extinction ratio of the interference peaks in the transmission spectrum. In order to obtain better interference spectrum, we adjusted the fusion structure of the tail fiber and the TCF, and the cross sections of the optical fibers are dislocated to a certain extent, so that the interference process of the beam changes. In the process of adjusting the structure, we observed the spectral changes in the spectrometer at the same time until the best interference spectrum appeared, and then we completed the fusion. The interference between different modes can be affected by changes in the external environment, like refractive index (RI) and strain, which also dictates the wavelength shift of the transmission spectrum. In the experiment, we have studied the sensing response of the optical fiber sensor to the RI and strain, and the sensing sensitivity is 131.1nm/RIU and 1.26x10^-3 dB/με respectively. All sensors fabricated in this paper show good linearity in terms of the spectral wavelength shift.

Proceedings Article | 12 March 2021 Paper

A novel multicore fiber temperature sensor based on Fabry-Perot structure

Chuanbiao Zhang, Xiongyan Tang, Min Zhang, Tigang Ning, Li Pei

Proceedings Volume 11763, 117633H (2021) https://doi.org/10.1117/12.2586566

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In this paper, we develop a novel optical fiber temperature sensor based on Fabry-Perot interferometer (FPI). The structure of the sensor includes a spliced seven-core fiber (SCF) and a piece of quartz glass capillary. During fabrication, we use the fusion splicer to move two SCFs into glass capillaries gradually. The length of the SCF is about 4 cm. In the cavity structure, the end faces of two SCFs are parallel to each other. The light transmitted in the optical fibers will be reflected twice at the two end faces. We can use the relationship between the length of the cavity and the power change of the reflected light to realize the sensing measurement of temperature parameters. We have gradually tested seven groups of reflective spectra as the temperature increases from 20°C to 50°C. The free spectral range (FSR) of the sensor has changed, also the beam propagation in the air cavity will cause loss, and the power of the reflection spectrum will change with the cavity length. The values of FSR and extinction ratio (ER) vary nonlinearly with temperature, and through data analysis, the equation describing the sensor was obtained, like the sensitivity function of FSR is y=107.7exp(-x/12.36)+5.35, the sensitivity function of ER is y=39.6exp(- x/15.75)+3.02, and the correlation coefficients of the two non-linear fitting are 0.991 and 0.998, respectively.

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