Multiple-impairment monitoring for 40-Gbps RZ-OOK using artificial neural networks trained with reconstructed eye diagram parameters

Junsen Lai; Aiying Yang; Yunan Sun

doi:10.1109/IQEC-CLEO.2011.6193685

Multiple-impairment monitoring for 40-Gbps RZ-OOK using artificial neural networks trained with reconstructed eye diagram parameters

Junsen Lai^*, Aiying Yang, Yunan Sun

^*Corresponding author for this work

School of Optics and Photonics

Beijing Institute of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

5 Citations (Scopus)

Abstract

A technique using artificial neural networks trained with parameters derived from reconstructed eye diagrams for multi-impairment monitoring in a 40-Gbps RZ-OOK system is demonstrated. The proposed monitoring scheme can accurately identify simultaneous impairments without requiring data clock recovery.

Original language	English
Title of host publication	2011 Int. Quantum Electr. Conf., IQEC 2011 Conf Lasers Electro-Optics, CLEO Pacific Rim 2011 Incorporating Australasian Conf. on Optics, Lasers Spectrosc. Australian Conf. Optical Fibre Technol.- Conf
Pages	563-565
Number of pages	3
DOIs	https://doi.org/10.1109/IQEC-CLEO.2011.6193685
Publication status	Published - 2011
Event	2011 International Quantum Electronics Conference, IQEC 2011 and Conference on Lasers and Electro-Optics, CLEO Pacific Rim 2011 - Sydney, NSW, Australia Duration: 28 Aug 2011 → 1 Sept 2011

Publication series

Name	2011 Int. Quantum Electron. Conf., IQEC 2011 and Conf. Lasers and Electro-Optics, CLEO Pacific Rim 2011 Incorporating the Australasian Conf. Optics, Lasers and Spectroscopy and the Australian Conf.

Conference

Conference	2011 International Quantum Electronics Conference, IQEC 2011 and Conference on Lasers and Electro-Optics, CLEO Pacific Rim 2011
Country/Territory	Australia
City	Sydney, NSW
Period	28/08/11 → 1/09/11

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10.1109/IQEC-CLEO.2011.6193685

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Lai, J., Yang, A., & Sun, Y. (2011). Multiple-impairment monitoring for 40-Gbps RZ-OOK using artificial neural networks trained with reconstructed eye diagram parameters. In 2011 Int. Quantum Electr. Conf., IQEC 2011 Conf Lasers Electro-Optics, CLEO Pacific Rim 2011 Incorporating Australasian Conf. on Optics, Lasers Spectrosc. Australian Conf. Optical Fibre Technol.- Conf (pp. 563-565). Article 6193685 (2011 Int. Quantum Electron. Conf., IQEC 2011 and Conf. Lasers and Electro-Optics, CLEO Pacific Rim 2011 Incorporating the Australasian Conf. Optics, Lasers and Spectroscopy and the Australian Conf.). https://doi.org/10.1109/IQEC-CLEO.2011.6193685

Lai, Junsen ; Yang, Aiying ; Sun, Yunan. / Multiple-impairment monitoring for 40-Gbps RZ-OOK using artificial neural networks trained with reconstructed eye diagram parameters. 2011 Int. Quantum Electr. Conf., IQEC 2011 Conf Lasers Electro-Optics, CLEO Pacific Rim 2011 Incorporating Australasian Conf. on Optics, Lasers Spectrosc. Australian Conf. Optical Fibre Technol.- Conf. 2011. pp. 563-565 (2011 Int. Quantum Electron. Conf., IQEC 2011 and Conf. Lasers and Electro-Optics, CLEO Pacific Rim 2011 Incorporating the Australasian Conf. Optics, Lasers and Spectroscopy and the Australian Conf.).

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title = "Multiple-impairment monitoring for 40-Gbps RZ-OOK using artificial neural networks trained with reconstructed eye diagram parameters",

abstract = "A technique using artificial neural networks trained with parameters derived from reconstructed eye diagrams for multi-impairment monitoring in a 40-Gbps RZ-OOK system is demonstrated. The proposed monitoring scheme can accurately identify simultaneous impairments without requiring data clock recovery.",

author = "Junsen Lai and Aiying Yang and Yunan Sun",

year = "2011",

doi = "10.1109/IQEC-CLEO.2011.6193685",

language = "English",

isbn = "9780977565771",

series = "2011 Int. Quantum Electron. Conf., IQEC 2011 and Conf. Lasers and Electro-Optics, CLEO Pacific Rim 2011 Incorporating the Australasian Conf. Optics, Lasers and Spectroscopy and the Australian Conf.",

pages = "563--565",

booktitle = "2011 Int. Quantum Electr. Conf., IQEC 2011 Conf Lasers Electro-Optics, CLEO Pacific Rim 2011 Incorporating Australasian Conf. on Optics, Lasers Spectrosc. Australian Conf. Optical Fibre Technol.- Conf",

note = "2011 International Quantum Electronics Conference, IQEC 2011 and Conference on Lasers and Electro-Optics, CLEO Pacific Rim 2011 ; Conference date: 28-08-2011 Through 01-09-2011",

}

Lai, J, Yang, A & Sun, Y 2011, Multiple-impairment monitoring for 40-Gbps RZ-OOK using artificial neural networks trained with reconstructed eye diagram parameters. in 2011 Int. Quantum Electr. Conf., IQEC 2011 Conf Lasers Electro-Optics, CLEO Pacific Rim 2011 Incorporating Australasian Conf. on Optics, Lasers Spectrosc. Australian Conf. Optical Fibre Technol.- Conf., 6193685, 2011 Int. Quantum Electron. Conf., IQEC 2011 and Conf. Lasers and Electro-Optics, CLEO Pacific Rim 2011 Incorporating the Australasian Conf. Optics, Lasers and Spectroscopy and the Australian Conf., pp. 563-565, 2011 International Quantum Electronics Conference, IQEC 2011 and Conference on Lasers and Electro-Optics, CLEO Pacific Rim 2011, Sydney, NSW, Australia, 28/08/11. https://doi.org/10.1109/IQEC-CLEO.2011.6193685

Multiple-impairment monitoring for 40-Gbps RZ-OOK using artificial neural networks trained with reconstructed eye diagram parameters. / Lai, Junsen; Yang, Aiying; Sun, Yunan.
2011 Int. Quantum Electr. Conf., IQEC 2011 Conf Lasers Electro-Optics, CLEO Pacific Rim 2011 Incorporating Australasian Conf. on Optics, Lasers Spectrosc. Australian Conf. Optical Fibre Technol.- Conf. 2011. p. 563-565 6193685 (2011 Int. Quantum Electron. Conf., IQEC 2011 and Conf. Lasers and Electro-Optics, CLEO Pacific Rim 2011 Incorporating the Australasian Conf. Optics, Lasers and Spectroscopy and the Australian Conf.).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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N2 - A technique using artificial neural networks trained with parameters derived from reconstructed eye diagrams for multi-impairment monitoring in a 40-Gbps RZ-OOK system is demonstrated. The proposed monitoring scheme can accurately identify simultaneous impairments without requiring data clock recovery.

AB - A technique using artificial neural networks trained with parameters derived from reconstructed eye diagrams for multi-impairment monitoring in a 40-Gbps RZ-OOK system is demonstrated. The proposed monitoring scheme can accurately identify simultaneous impairments without requiring data clock recovery.

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DO - 10.1109/IQEC-CLEO.2011.6193685

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Y2 - 28 August 2011 through 1 September 2011

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Lai J, Yang A, Sun Y. Multiple-impairment monitoring for 40-Gbps RZ-OOK using artificial neural networks trained with reconstructed eye diagram parameters. In 2011 Int. Quantum Electr. Conf., IQEC 2011 Conf Lasers Electro-Optics, CLEO Pacific Rim 2011 Incorporating Australasian Conf. on Optics, Lasers Spectrosc. Australian Conf. Optical Fibre Technol.- Conf. 2011. p. 563-565. 6193685. (2011 Int. Quantum Electron. Conf., IQEC 2011 and Conf. Lasers and Electro-Optics, CLEO Pacific Rim 2011 Incorporating the Australasian Conf. Optics, Lasers and Spectroscopy and the Australian Conf.). doi: 10.1109/IQEC-CLEO.2011.6193685

Multiple-impairment monitoring for 40-Gbps RZ-OOK using artificial neural networks trained with reconstructed eye diagram parameters

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