All-optical simultaneous amplitude and phase regeneration for MPSK signal with ASE noise based on two-wave PSA
All-optical simultaneous amplitude and phase regeneration for MPSK signal with ASE noise based on two-wave PSA
A phase sensitive amplification (PSA) regeneration model for M-ary phase shift keying (MPSK) signals with amplified spontaneous emission (ASE) noise based on the interference between signal and its (M+1)th harmonic is proposed. Compared with the existing models based on different combinations of signal and harmonics, the new regeneration model is optimal in theory to deal with the MPSK signal degraded by ASE noise. The QPSK format is taken as an example for simulation verification and two existing classic models are also performed with the same parameters for comparison. The regeneration performance is evaluated by input–output constellations, phase and amplitude regeneration factors, and the relay distance at the bit error rate (BER) of 3.8x10-3 by measuring the transmission reach after the regenerator. The results show that the new model has the optimal relay performance for ASE-noise MPSK format, which is promising to be applied in large-capacity, flexible, and reliable optical transport networks.
ASE noise, MPSK signal, Phase sensitive amplification, Simultaneous amplitude and phase regeneration, Two-wave model
Liu, Hong
e8808574-7eb8-459e-9539-110a1f76e117
Wang, Hongxiang
3a1eac03-2c41-4adf-9391-54fc1dc7e7fd
Murugan, Ganapathy Senthil
a867686e-0535-46cc-ad85-c2342086b25b
Ji, Yuefeng
09a0dbfd-25dc-49b1-a9bb-a5a3c90adb0d
15 November 2021
Liu, Hong
e8808574-7eb8-459e-9539-110a1f76e117
Wang, Hongxiang
3a1eac03-2c41-4adf-9391-54fc1dc7e7fd
Murugan, Ganapathy Senthil
a867686e-0535-46cc-ad85-c2342086b25b
Ji, Yuefeng
09a0dbfd-25dc-49b1-a9bb-a5a3c90adb0d
Liu, Hong, Wang, Hongxiang, Murugan, Ganapathy Senthil and Ji, Yuefeng
(2021)
All-optical simultaneous amplitude and phase regeneration for MPSK signal with ASE noise based on two-wave PSA.
Optics Communications, 499, [127281].
(doi:10.1016/j.optcom.2021.127281).
Abstract
A phase sensitive amplification (PSA) regeneration model for M-ary phase shift keying (MPSK) signals with amplified spontaneous emission (ASE) noise based on the interference between signal and its (M+1)th harmonic is proposed. Compared with the existing models based on different combinations of signal and harmonics, the new regeneration model is optimal in theory to deal with the MPSK signal degraded by ASE noise. The QPSK format is taken as an example for simulation verification and two existing classic models are also performed with the same parameters for comparison. The regeneration performance is evaluated by input–output constellations, phase and amplitude regeneration factors, and the relay distance at the bit error rate (BER) of 3.8x10-3 by measuring the transmission reach after the regenerator. The results show that the new model has the optimal relay performance for ASE-noise MPSK format, which is promising to be applied in large-capacity, flexible, and reliable optical transport networks.
Text
Hong Liu_Accepted Manuscript_Optics Communication
- Accepted Manuscript
More information
Accepted/In Press date: 6 July 2021
Published date: 15 November 2021
Additional Information:
Funding Information:
National Key Research and Development Program of China (No. 2019YFB1803601 ), National Natural Science Foundation of China (No. 61771073 ), BUPT Excellent Ph.D. Students Foundation, China ( CX2019216 ).
Funding Information:
National Key Research and Development Program of China (No. 2019YFB1803601), National Natural Science Foundation of China (No. 61771073), BUPT Excellent Ph.D. Students Foundation, China (CX2019216).
Publisher Copyright:
© 2021 Elsevier B.V.
Keywords:
ASE noise, MPSK signal, Phase sensitive amplification, Simultaneous amplitude and phase regeneration, Two-wave model
Identifiers
Local EPrints ID: 450705
URI: http://eprints.soton.ac.uk/id/eprint/450705
ISSN: 0030-4018
PURE UUID: d5556c37-5ddf-47c9-92e2-0a60db12bc6b
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Date deposited: 09 Aug 2021 16:30
Last modified: 17 Mar 2024 06:44
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Contributors
Author:
Hong Liu
Author:
Hongxiang Wang
Author:
Yuefeng Ji
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