Experimental Demonstration Of Adaptive Vff-Rls-Fde For Long-Distance Mode-Division Multiplexed Transmission
Abstract
We experimentally demonstrate adaptive variable-forgetting-factor (VFF) recursive-least-square frequency-domain equalization (RLS-FDE) for mode-division multiplexing. The VFF-RLS-FDE algorithm improves convergence speed as transmission distance increases. For MDM transmission over a 1,000-km few-mode fiber, the convergence speed was increased by 18.7 times in comparison with LMS-FDE. In the meantime, the convergence error performance of VFF-RLS is also much superior to LMS while fixed-forgetting-factor RLS has a 0.2 dB penalty compared with LMS. The proposed VFF-RLS algorithm achieves better performances than conventional RLS in terms of convergence speed and convergence error.
Publication Date
7-9-2018
Publication Title
Optics Express
Volume
26
Issue
14
Number of Pages
18362-18367
Document Type
Article
Personal Identifier
scopus
DOI Link
https://doi.org/10.1364/OE.26.018362
Copyright Status
Unknown
Socpus ID
85049584949 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/85049584949
STARS Citation
Yang, Zhiqun; Zhao, Jian; Bai, Neng; Ip, Ezra; and Wang, Ting, "Experimental Demonstration Of Adaptive Vff-Rls-Fde For Long-Distance Mode-Division Multiplexed Transmission" (2018). Scopus Export 2015-2019. 9054.
https://stars.library.ucf.edu/scopus2015/9054