Simplified extended Kalman filter phase noise estimation for CO-OFDM transmissions

T.T. Nguyen, S.T. Le, M. Wuilpart, T. Yakusheva

Research output: Contribution to journalArticle

Abstract

We propose a flexible simplified extended Kalman filter (S-EKF) scheme that can be applied in both pilot-aided and blind modes for phase noise compensation in 16-QAM CO-OFDM transmission systems employing a small-to-moderate number of subcarriers. The performance of the proposed algorithm is evaluated and compared with conventional pilot-aided (PA) and blind phase search (BPS) methods via extensive an Monte Carlo simulation in a back-to-back configuration and with a dual polarization fiber transmission. For 64 subcarrier 32 Gbaud 16-QAM CO-OFDM systems with 200 kHz combined laser linewidths, an optical signal-to-noise ratio penalty as low as 1 dB can be achieved with the proposed S-EKF scheme using only 2 pilots in the pilot-aided mode and just 4 inputs in the blind mode, resulting in a spectrally efficient enhancement by a factor of 3 and a computational effort reduction by a factor of more than 50 in comparison with the conventional PA and the BPS methods, respectively.
Original languageEnglish
Pages (from-to)27247-27261
JournalOptics Express
Volume25
Issue number22
DOIs
Publication statusPublished - 23 Oct 2017

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Kalman filters
quadrature amplitude modulation
penalties
optical communication
signal to noise ratios
fibers
augmentation
polarization
configurations
lasers
simulation

Bibliographical note

© 2017 Optical Society of America under the terms of the OSA Open Access Publishing Agreement

Cite this

Nguyen, T.T. ; Le, S.T. ; Wuilpart, M. ; Yakusheva, T. / Simplified extended Kalman filter phase noise estimation for CO-OFDM transmissions. In: Optics Express. 2017 ; Vol. 25, No. 22. pp. 27247-27261.
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Simplified extended Kalman filter phase noise estimation for CO-OFDM transmissions. / Nguyen, T.T.; Le, S.T.; Wuilpart, M.; Yakusheva, T.

In: Optics Express, Vol. 25, No. 22, 23.10.2017, p. 27247-27261.

Research output: Contribution to journalArticle

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