Optical Communication Technology, Volume. 47, Issue 4, 67(2023)

Improved deep neural network algorithm for power line pulse noise suppression and compensation

ZHUANG Yuanqiang and SHEN Min
Author Affiliations
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    References(15)

    [3] [3] BAI T, ZHANG H, WANG J, et al. Fifty years of noise modeling and mitigation in power-line communications[J]. IEEE Communications Surveys & Tutorials, 2020, 23(1): 41-69.

    [5] [5] CAIRE G, AL-NAFFOURI T Y, NARAYANAN A K. Impulse noise cancellation in OFDM: an application of compressed sensing[C]//IEEE. Proceedings of 2008 IEEE International Symposium on Information Theory. Toronto: IEEE, 2008: 1293-1297.

    [6] [6] LIN J, NASSAR M, EVANS B L. Impulsive noise mitigation in powerline communications using sparse Bayesian learning[J]. IEEE Journal on Selected Areas in Communications, 2013, 31(7): 1172-1183.

    [7] [7] SHRESTHA D. Impulsive noise cancellation and channel estimation in power line communication systems[D]. Barcelona: Universitat Politecnica de Catalunya, 2019.

    [8] [8] NDO G, SIOHAN P, HAMON M H. Adaptive noise mitigation in impulsive environment: application to power-line communications[J]. IEEE Transactions on Power Delivery, 2010, 25(2): 647-656.

    [10] [10] ISAC A, SELIM B, SOBHANIGAVGANI Z, et al. Impulsive noise parameter estimation: A deep CNN-LSTM network approach[C]//IEEE. Proceedings of 2021 4th International Conference on Advanced Communication Technologies and Networking(CommNet). Rabat: IEEE, 2021: 1-6.

    [11] [11] SELIM B, ALAM M S, KADDOUM G, et al. A deep learning approach for the estimation of Middleton class-A impulsive noise parameters[C]//IEEE. Proceedings of International Conference on Communications (ICC). Dublin: IEEE, 2020: 1-6.

    [12] [12] HUSSAIN M, SHAKIR H, RASHEED H. Deep learning approaches for impulse noise mitigation and classification in NOMA-based systems[J]. IEEE Access, 2021, 9: 143836-143846.

    [13] [13] SELIM B, ALAM M S, EVANGELISTA J V C, et al. NOMA-based IoT networks: impulsive noise effects and mitigation[J]. IEEE Communications Magazine, 2020, 58(11): 69-75.

    [14] [14] TSENG D F, LIN C S. A study of neural network receivers in OFDM systems subject to memoryless impulse noise[C]//IEEE. Proceedings of 2021 30th Wireless and Optical Communications Conference(WOCC). Taipei: IEEE, 2021: 16-20.

    [16] [16] BARAZIDEH R, NIKNAM S, NATARAJAN B. Impulsive noise detection in OFDM-based systems: a deep learning perspective[C]//IEEE. Proceedings of 2019 IEEE 9th Annual Computing and Communication Workshop and Conference(CCWC). Las Vegas: IEEE, 2019: 0937-0942.

    [17] [17] KINGMA D P, BA J. Adam: a method for stochastic optimization[EB/OL]. (2017-01-30)[2023-01-29]. https://arxiv.org/abs/1412.6980v6.

    [18] [18] BARAZIDEH R, NIKITIN A V, NATARAJAN B. Practical impleme-ntation of adaptive analog nonlinear filtering for impulsive noise mitigation[C]//IEEE. Proceedings of 2018 IEEE International Conference on Communications(ICC). Kansas City: IEEE, 2018: 1-7.

    [19] [19] GLOROT X, BENGIO Y. Understanding the difficulty of training deep feedforward neural networks[C]//IEEE. Proceedings of Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics. JMLR Workshop and Conference Proceedings. Sardinia: IEEE, 2010: 249-256.

    [20] [20] ZIMMERMANN M, DOSTERT K. A multipath model for the powerline channel[J]. IEEE Transactions on Communications, 2002, 50(4): 553-559.

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    ZHUANG Yuanqiang, SHEN Min. Improved deep neural network algorithm for power line pulse noise suppression and compensation[J]. Optical Communication Technology, 2023, 47(4): 67

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    Paper Information

    Received: Jan. 29, 2023

    Accepted: --

    Published Online: Feb. 2, 2024

    The Author Email:

    DOI:10.13921/j.cnki.issn1002-5561.2023.04.013

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