• Acta Optica Sinica
  • Vol. 42, Issue 20, 2006003 (2022)
Zehang Ma1, Rui Gong1, Bin Li2, Li Pei1, and Huai Wei1、*
Author Affiliations
  • 1Key Laboratory of All Optical Network and Advanced Telecommunication Network, Ministry of Education, Institute of Lightwave Technology, Beijing Jiaotong University, Beijing 100044, China
  • 2School of Information and Communication Engineering, Communication University of China, Beijing 100024, China
  • show less
    DOI: 10.3788/AOS202242.2006003 Cite this Article Set citation alerts
    Zehang Ma, Rui Gong, Bin Li, Li Pei, Huai Wei. Optical Fiber Multi-Parameter Measurement Based on Machine Learning[J]. Acta Optica Sinica, 2022, 42(20): 2006003 Copy Citation Text show less
    References

    [1] Travers J C, Fresz M H, Dudley J M. Nonlinear fibre optics overview[M]. Dudley J M, Taylor J R. Supercontinuum Generation in optical fiber, 30-52(2010).

    [2] Wu T, Pang T, Tang Y Q et al. Application of MOPA all-fiber pulsed laser in RDTS system[J]. Chinese Journal of Lasers, 46, 1101009(2019).

    [3] Li R H, Ma Z H, Tang C T et al. Synchronous spectral overlapping multi-wavelength pulsed fiber laser based on Mamyshev cavity[J]. Chinese Journal of Lasers, 47, 0801002(2020).

    [4] Wang Z W, Wang Z K, Zou F et al. High-peak-power rod-type photonic crystal fiber amplifier for picosecond pulses[J]. Chinese Journal of Lasers, 43, 1001001(2016).

    [5] Shioda T, Shimizu N, Nakamura M. Three-wavelength parallel optical fiber dispersion measurement using dual-heterodyne mixing[J]. Applied Optics, 51, 6586-6593(2012).

    [6] Zhang T. The measurement and analyses for dispersion characteristics of optical fiber based on spectral interferometry[D], 2-10(2009).

    [7] Fang W, Ma X R, Guo H L et al. Chromatic dispersion measurement of optical fibers[J]. Optical Communication Technology, 30, 24-26(2006).

    [8] IEC[S]. Application guide for non-linear coefficient measuring methods: PDIEC/TR 62285(2005).

    [9] Zhang H Y, Zhang S P, Yuan Z J et al. Measurement of nonlinear parameter of an optical fiber based on Brillouin optical time-domain analysis[J]. Journal of the Optical Society of America B, 33, 630-636(2016).

    [10] Chen X Y, Yan X, Zhang X N et al. Microstructured optical fiber temperature sensor based on the self-phase modulation effect[J]. Optics Express, 29, 15653-15663(2021).

    [11] Chen X Y, Yan X, Zhang X N et al. Highly sensitive nonlinear temperature sensor based on soliton self-frequency shift technique in a microstructured optical fiber[J]. Sensors and Actuators A, 334, 113333(2022).

    [12] Geng Y, Wang L, Xu Y et al. Wavelength multiplexing of four-wave mixing based fiber temperature sensor with oil-filled photonic crystal fiber[J]. Optics Express, 26, 27907-27916(2018).

    [13] Zhao H X, Chen P H, Ding Z Q et al. Simultaneous measurement of temperature, refractive index and liquid level based on biconical fiber gratings[J]. Chinese Journal of Lasers, 43, 1010005(2016).

    [14] Zhang B W, Wang X C, Pan S L. Photonics-based instantaneous multi-parameter measurement of a linear frequency modulation microwave signal[J]. Journal of Lightwave Technology, 36, 2589-2596(2018).

    [15] Gautam N, Choudhary A, Lall B. Comparative study of neural network architectures for modelling nonlinear optical pulse propagation[J]. Optical Fiber Technology, 64, 102540(2021).

    [16] Farfan C A, Epstein J, Turner D B. Femtosecond pulse compression using a neural-network algorithm[J]. Optics Letters, 43, 5166-5169(2018).

    [17] Liu T G, Jiang J F, Liu K et al. Review of fiber mechanical and thermal multi-parameter measurement technologies and instrumentation[J]. Journal of Lightwave Technology, 39, 3724-3739(2021).

    [18] Li H[M]. The elements of statistical learning(2019).

    [19] Kumar T. Solution of linear and non linear regression problem by K nearest neighbor approach: by using three sigma rule[C], 197-201(2015).

    [20] Varol Malkoçoğlu A B, Utku Malkoçoglu Ş. Comparative performance analysis of random forest and logistic regression algorithms[C], 25-30(2020).

    [21] Cheng X, Khomtchouk B, Matloff N et al. Polynomial regression as an alternative to neural nets[EB/OL]. https://arxiv.org/abs/1806.06850

    [22] Wu X G, Ge J L. The application of artificial neural network in repression analysis[J]. Computer Engineering, 21, 1-5(1995).

    [23] Blow K J, Wood D. Theoretical description of transient stimulated Raman scattering in optical fibers[J]. IEEE Journal of Quantum Electronics, 25, 2665-2673(1989).

    Zehang Ma, Rui Gong, Bin Li, Li Pei, Huai Wei. Optical Fiber Multi-Parameter Measurement Based on Machine Learning[J]. Acta Optica Sinica, 2022, 42(20): 2006003
    Download Citation