English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

To comprehensively assess optical fiber communication system conditions, itis essential to implement joint estimation of the following four criticalimpairments: nonlinear signal-to-noise ratio (SNRNL), optical signal-to-noiseratio (OSNR), chromatic dispersion (CD) and differential group delay (DGD).However, current studies only achieve identifying a limited number ofimpairments within a narrow range, due to limitations in network capabilitiesand lack of unified representation of impairments. To address these challenges,we adopt time-frequency signal processing based on fractional Fourier transform(FrFT) to achieve the unified representation of impairments, while employing aTransformer based neural networks (NN) to break through network performancelimitations. To verify the effectiveness of the proposed estimation method, thenumerical simulation is carried on a 5-channelpolarization-division-multiplexed quadrature phase shift keying (PDM-QPSK) longhaul optical transmission system with the symbol rate of 50 GBaud per channel,the mean absolute error (MAE) for SNRNL, OSNR, CD, and DGD estimation is 0.091dB, 0.058 dB, 117 ps/nm, and 0.38 ps, and the monitoring window ranges from0~20 dB, 10~30 dB, 0~51000 ps/nm, and 0~100 ps, respectively. Our proposedmethod achieves accurate estimation of linear and nonlinear impairments over abroad range, representing a significant advancement in the field of opticalperformance monitoring (OPM).

FrFT based estimation of linear and nonlinear impairments using Vision Transformer