2007
DOI: 10.1109/jlt.2007.891174
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Nonlinear Electrical Equalization for Different Modulation Formats With Optical Filtering

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Cited by 79 publications
(34 citation statements)
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“…The histogram method looks for the sequence that satisfies the following condition: (1) where is the current received sample, is the number of successive symbols to be estimated, and is the probability that the current received sample belongs to the state transition . The value of can be read from the histogram [18].…”
Section: A Histogram Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…The histogram method looks for the sequence that satisfies the following condition: (1) where is the current received sample, is the number of successive symbols to be estimated, and is the probability that the current received sample belongs to the state transition . The value of can be read from the histogram [18].…”
Section: A Histogram Methodsmentioning
confidence: 99%
“…Among the various EDC techniques available, maximum-likelihood sequence estimation (MLSE) has showed itself as one of the more powerful [1]. MLSE provides excellent performance when combined with ON-OFF keying (OOK) [2]- [4] and duobinary modulation [5].…”
Section: E Lectronic Distortion Compensation (Edc)mentioning
confidence: 99%
“…Although nonlinear Journal of Electrical and Computer Engineering DFE (NL-DFE) structures have also been considered in the literature (e.g., [8,9]), their performances still degrade significantly at long fiber lengths (e.g., ≥500 km). On the other hand, MLSD can operate with a constant penalty around 3 dB with respect to backto-back (B2B) at virtually any distance [10,11].…”
Section: Introductionmentioning
confidence: 99%
“…8,9 But they cannot fully compensate the distortions because the absolute square-law detection of the photodiode (PD) is the fundamental reason why the performance of conventional linear equalizer is degraded. A nonlinear equalizer is used to further enhance the system performance, such as a mathematical square root operator (SQRT), 10 nonlinear FFE-DFE (NL-FFE-DFE), 11 and maximum-likelihood sequence estimation (MLSE). 12,13 SQRT can linearize the receiver before equalization, but this cannot change the fact that the phase information introduced by dispersion is lost even after the square root operation.…”
Section: Introductionmentioning
confidence: 99%