Literature DB >> 23262850

Nonlinear impairment compensation using expectation maximization for dispersion managed and unmanaged PDM 16-QAM transmission.

Darko Zibar1, Ole Winther, Niccolo Franceschi, Robert Borkowski, Antonio Caballero, Valeria Arlunno, Mikkel N Schmidt, Neil Guerrero Gonzales, Bangning Mao, Yabin Ye, Knud J Larsen, Idelfonso Tafur Monroy.   

Abstract

In this paper, we show numerically and experimentally that expectation maximization (EM) algorithm is a powerful tool in combating system impairments such as fibre nonlinearities, inphase and quadrature (I/Q) modulator imperfections and laser linewidth. The EM algorithm is an iterative algorithm that can be used to compensate for the impairments which have an imprint on a signal constellation, i.e. rotation and distortion of the constellation points. The EM is especially effective for combating non-linear phase noise (NLPN). It is because NLPN severely distorts the signal constellation and this can be tracked by the EM. The gain in the nonlinear system tolerance for the system under consideration is shown to be dependent on the transmission scenario. We show experimentally that for a dispersion managed polarization multiplexed 16-QAM system at 14 Gbaud a gain in the nonlinear system tolerance of up to 3 dB can be obtained. For, a dispersion unmanaged system this gain reduces to 0.5 dB.

Year:  2012        PMID: 23262850     DOI: 10.1364/OE.20.00B181

Source DB:  PubMed          Journal:  Opt Express        ISSN: 1094-4087            Impact factor:   3.894


  2 in total

1.  Carrierless amplitude and phase modulation in wireless visible light communication systems.

Authors:  N Bamiedakis; R V Penty; I H White
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2020-03-02       Impact factor: 4.226

2.  Field and lab experimental demonstration of nonlinear impairment compensation using neural networks.

Authors:  Shaoliang Zhang; Fatih Yaman; Kohei Nakamura; Takanori Inoue; Valey Kamalov; Ljupcho Jovanovski; Vijay Vusirikala; Eduardo Mateo; Yoshihisa Inada; Ting Wang
Journal:  Nat Commun       Date:  2019-07-10       Impact factor: 14.919

  2 in total

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