2003
DOI: 10.1109/lpt.2003.816120
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On the performance of electrical equalization in optical fiber transmission systems

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Cited by 59 publications
(13 citation statements)
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“…In this paper, we consider the optimal MLSD strategy with PMD and GVD in the sense that our aim is to describe the receiver structure and to provide a reliable method for computing the relevant performance for any possible value of the system parameters, under the only constraint of one sample per bit, as in [15] and [16], or no constraint on the sampling rate, since oversampling is a possible way to guarantee sufficient statistics for this transmission system [17] (see also [18] for applications to optical channels). In particular, through numerical evaluation [19], we derived a practically exact expression of the received signal statistics in the case of a receiver working with one sample per bit time so that a lookup-table-based MLSD receiver could be implemented [20].…”
mentioning
confidence: 99%
“…In this paper, we consider the optimal MLSD strategy with PMD and GVD in the sense that our aim is to describe the receiver structure and to provide a reliable method for computing the relevant performance for any possible value of the system parameters, under the only constraint of one sample per bit, as in [15] and [16], or no constraint on the sampling rate, since oversampling is a possible way to guarantee sufficient statistics for this transmission system [17] (see also [18] for applications to optical channels). In particular, through numerical evaluation [19], we derived a practically exact expression of the received signal statistics in the case of a receiver working with one sample per bit time so that a lookup-table-based MLSD receiver could be implemented [20].…”
mentioning
confidence: 99%
“…Using the state-input representation, the statistical properties of a sample can be given by the pdf (6) To simplify notation, sometimes instead of is used. The SNR is defined as (7) where equally likely transmit symbols are assumed. is the energy per bit, is the symbol energy, is the total noise spectral density, and is the impulse shaper duty cycle according to [20].…”
Section: System Modelmentioning
confidence: 99%
“…As the transmission rate increases, ISI mitigation becomes indispensable and many schemes for CD and PMD compensation have been proposed. These compensation techniques can be separated into two approaches; optical domain equalization [3] and electrical domain equalization [2,4,5]. Optical equalization schemes can achieve perfect compensation using inverse system response, while the performance of electrical domain equalization is limited due to the nonlinear channel effect caused by the photodetector, which is a square-law detector.…”
Section: Introductionmentioning
confidence: 99%
“…Until now, most work on electronic domain equalizers has been focused on experimental studies [2,5,6]. The equalizer coefficients are determined by adaptive algorithms such as least mean square (LMS) algorithms and recursive least square (RLS) algorithms [7].…”
Section: Introductionmentioning
confidence: 99%