2008 34th European Conference on Optical Communication 2008
DOI: 10.1109/ecoc.2008.4729195
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Improved DSP algorithms for coherent 16-QAM transmission

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Cited by 45 publications
(14 citation statements)
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“…The output signal reconstructed from a digital coherent receiver can be represented as r k = a k e j φ k + n k (8) where a k is the 16-QAM data symbol, φ k is the phase noise, and n k is the complex circularly symmetric additive white Gaussian noise (AWGN). The phase noise in the simulation was modeled as the Wiener process [6] …”
Section: Simulation Resultsmentioning
confidence: 99%
“…The output signal reconstructed from a digital coherent receiver can be represented as r k = a k e j φ k + n k (8) where a k is the 16-QAM data symbol, φ k is the phase noise, and n k is the complex circularly symmetric additive white Gaussian noise (AWGN). The phase noise in the simulation was modeled as the Wiener process [6] …”
Section: Simulation Resultsmentioning
confidence: 99%
“…Thereafter, an enhanced CMA, the multiple moduli algorithm (MMA) was used. Previously applied to Square-16QAM [7], in this work the MMA was adapted to the Star-16QAM modulation format: only two levels corresponding to the two symbol amplitudes are distinguished. The MMA is applied to compensate for residual CD and polarization misalignment between the channels at the receiver side to reduce channel crosstalk.…”
Section: Equalization and Offline Ber Estimationmentioning
confidence: 99%
“…Using EDE after coherent detection, chromatic dispersion can effectively be compensated for in the frequency domain [3], while other transmission impairments (such as polarization cross-talk) are usually compensated in the time domain using blind channel equalization (BCE) techniques, such as the constant modulus algorithm (CMA). In this paper, an enhanced CMA is applied, which has already been investigated numerically for 16QAM in square constellation [7].…”
Section: Introductionmentioning
confidence: 99%
“…The first one is based on a decision directed feedback loop [8]- [10]. Laser linewidth tolerance of this method is not very promising because the estimation of phase depends on the previous set of data symbols instead of the current one, hence making this algorithm complex at the implementation level [11], [12].…”
mentioning
confidence: 99%