Acta Optica Sinica, Volume. 42, Issue 22, 2206002(2022)

Multi-Task Optical Performance Monitoring Based on Convolutional Neural Network

Jingze Ju, Qingtian Liu, Hongzhao Li, Wei Hu, Tianxiong Feng, Lin Jiang*, and Lianshan Yan
Author Affiliations
  • Center for Information Photonics and Communications, Southwest Jiaotong University, Chengdu 611756, Sichuan , China
  • show less
    References(32)

    [1] Huang Y, Zhao J Y, Wang J D et al. A real-time polarization compensation system based on wavelength-division multiplexing for optical fiber communication systems[J]. Acta Optica Sinica, 40, 1406003(2020).

    [2] Chen X J, Wang J, Wu C Q. Study on bit error rate degradation caused by EDFA crosstalk in DWDM system[J]. Acta Optica Sinica, 40, 1806005(2020).

    [3] Wang X L. Influence of transceiver noise on nonlinearity-compensated optical transmission systems[J]. Laser & Optoelectronics Progress, 58, 2306010(2021).

    [4] Wu Q, Zhang L J, Li X et al. Training symbol assisted in-band OSNR monitoring technique for PDM-CO-OFDM system[J]. Journal of Lightwave Technology, 35, 1551-1556(2017).

    [5] Do C C, Zhu C, Tran A V. Data-aided OSNR estimation using low-bandwidth coherent receivers[J]. IEEE Photonics Technology Letters, 26, 1291-1294(2014).

    [6] Lin X, Dobre O A, Ngatched T M N et al. A non-data-aided OSNR estimation algorithm for coherent optical fiber communication systems employing multilevel constellations[J]. Journal of Lightwave Technology, 37, 3815-3825(2019).

    [7] Lundberg L, Sunnerud H, Johannisson P. In-band OSNR monitoring of PM-QPSK using the Stokes parameters[C](2015).

    [8] Saida T, Ogawa I, Mizuno T et al. In-band OSNR monitor with high-speed integrated Stokes polarimeter for polarization division multiplexed signal[J]. Optics Express, 20, B165-B170(2012).

    [9] Ma Y Y, Gao M Y, Wang L et al. Accuracy enhancement of moments-based OSNR monitoring in QAM coherent optical communication[J]. IEEE Communications Letters, 24, 821-824(2020).

    [10] Faruk M S, Mori Y, Kikuchi K. In-band estimation of optical signal-to-noise ratio from equalized signals in digital coherent receivers[J]. IEEE Photonics Journal, 6, 7800109(2014).

    [11] Zhu C, Tran A V, Chen S M et al. Statistical moments-based OSNR monitoring for coherent optical systems[J]. Optics Express, 20, 17711-17721(2012).

    [12] Alvarez-Diaz M, Lopez-Valcarce R, Mosquera C. SNR estimation for multilevel constellations using higher-order moments[J]. IEEE Transactions on Signal Processing, 58, 1515-1526(2010).

    [13] Wang D S, Zhang M, Li J et al. Intelligent constellation diagram analyzer using convolutional neural network-based deep learning[J]. Optics Express, 25, 17150-17166(2017).

    [14] Khan F N, Zhong K P, Al-Arashi W H et al. Modulation format identification in coherent receivers using deep machine learning[J]. IEEE Photonics Technology Letters, 28, 1886-1889(2016).

    [15] Khan F N, Zhong K P, Zhou X et al. Joint OSNR monitoring and modulation format identification in digital coherent receivers using deep neural networks[J]. Optics Express, 25, 17767-17776(2017).

    [16] Dou L, Yamauchi T, Su X F et al. An accurate nonlinear noise insensitive OSNR monitor[C], W3A.5(2016).

    [17] Wang Z Y, Yang A Y, Guo P et al. OSNR and nonlinear noise power estimation for optical fiber communication systems using LSTM based deep learning technique[J]. Optics Express, 26, 21346-21357(2018).

    [18] Jiang L, Yan L S, Yi A L et al. Blind density-peak-based modulation format identification for elastic optical networks[J]. Journal of Lightwave Technology, 36, 2850-2858(2018).

    [19] Mai X F, Liu J, Wu X et al. Stokes space modulation format classification based on non-iterative clustering algorithm for coherent optical receivers[J]. Optics Express, 25, 2038-2050(2017).

    [20] Borkowski R, Zibar D, Caballero A et al. Stokes space-based optical modulation format recognition for digital coherent receivers[J]. IEEE Photonics Technology Letters, 25, 2129-2132(2013).

    [21] Fu S N, Xu Z Y, Lu J N et al. Modulation format identification enabled by the digital frequency-offset loading technique for hitless coherent transceiver[J]. Optics Express, 26, 7288-7296(2018).

    [22] Xiang M, Zhuge Q B, Qiu M et al. RF-pilot aided modulation format identification for hitless coherent transceiver[J]. Optics Express, 25, 463-471(2017).

    [23] Liu G C, Proietti R, Zhang K Q et al. Blind modulation format identification using nonlinear power transformation[J]. Optics Express, 25, 30895-30904(2017).

    [24] Gouldieff V, Palicot J, Daumont S. Blind digital modulation classification based on M-TH power nonlinear transformation[C], 650-654(2016).

    [25] Jiang L, Yan L S, Yi A L et al. An effective modulation format identification based on intensity profile features for digital coherent receivers[J]. Journal of Lightwave Technology, 37, 5067-5075(2019).

    [26] Lin X, Eldemerdash Y A, Dobre O A et al. Modulation classification using received signal's amplitude distribution for coherent receivers[J]. IEEE Photonics Technology Letters, 29, 1872-1875(2017).

    [27] Lin X, Dobre O A, Ngatched T M N et al. Joint modulation classification and OSNR estimation enabled by support vector machine[J]. IEEE Photonics Technology Letters, 30, 2127-2130(2018).

    [28] Bilal S M, Bosco G, Dong Z H et al. Blind modulation format identification for digital coherent receivers[J]. Optics Express, 23, 26769-26778(2015).

    [29] Jiang L, Yan L S, Yi A L et al. Robust and blind modulation format identification for elastic optical networks[C](2018).

    [30] Jiang L, Yan L S, Yi A L et al. Blind optical modulation format identification assisted by signal intensity fluctuation for autonomous digital coherent receivers[J]. Optics Express, 28, 302-313(2020).

    [31] Yu Z M, Wan Z Q, Shu L et al. Loss weight adaptive multi-task learning based optical performance monitor for multiple parameters estimation[J]. Optics Express, 27, 37041-37055(2019).

    [32] Cheng Y J, Fu S N, Tang M et al. Multi-task deep neural network (MT-DNN) enabled optical performance monitoring from directly detected PDM-QAM signals[J]. Optics Express, 27, 19062-19074(2019).

    Tools

    Get Citation

    Copy Citation Text

    Jingze Ju, Qingtian Liu, Hongzhao Li, Wei Hu, Tianxiong Feng, Lin Jiang, Lianshan Yan. Multi-Task Optical Performance Monitoring Based on Convolutional Neural Network[J]. Acta Optica Sinica, 2022, 42(22): 2206002

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category: Fiber Optics and Optical Communications

    Received: Apr. 22, 2022

    Accepted: May. 24, 2022

    Published Online: Nov. 7, 2022

    The Author Email: Lin Jiang (linjiang@swjtu.edu.cn)

    DOI:10.3788/AOS202242.2206002

    Topics