2022
DOI: 10.1109/jlt.2022.3143522
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Modified Gerchberg-Saxton Algorithm Based Electrical Dispersion Pre-Compensation for Intensity-modulation and Direct-detection Systems

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Cited by 24 publications
(22 citation statements)
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“…This EDC scenario can be implemented with a chirp-free single drive MZM. The iterative GS algorithm could be implemented using a cascade of frequency or time domain filters [15], [17], operating on the transmitted data pattern with 2 samplesper-symbol [15] or 1 sample-per-symbol [17]. The algorithm illustrated in Fig.…”
Section: Fir Filter Optimizationmentioning
confidence: 99%
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“…This EDC scenario can be implemented with a chirp-free single drive MZM. The iterative GS algorithm could be implemented using a cascade of frequency or time domain filters [15], [17], operating on the transmitted data pattern with 2 samplesper-symbol [15] or 1 sample-per-symbol [17]. The algorithm illustrated in Fig.…”
Section: Fir Filter Optimizationmentioning
confidence: 99%
“…4 (a). The scheme presented here performs the basic iterative GS algorithm offline using a single impulse δ(t) function located at the center of the simulation window as input, as oppose to using the information bearing NRZ-OOK or PAM4 waveform as implemented in prior studies [15], [17], [23]. With every successive iteration of the GS algorithm the impulse response of required electronic dispersion pre-compensating filter at iteration i, denoted, h i GS (n), becomes manifest.…”
Section: Single Real-valued Firmentioning
confidence: 99%
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“…The iterative algorithm fundamentally linearizes the IM/DD channel effect including square-law detection. This algorithm was experimentally demonstrated to deliver 56 Gb/s over 50 km in [16], modified to reduce the implementation complexity and speed up convergence in [17], [18], [20], and implemented at the receiver as a data-aided decision directed equalizer, enabling 100 Gb/s over 100 km of single mode fiber (SMF) [19], [20]. A 56 Gb/s PAM4 was transmitted over 80 km of SMF with only 5 iterations of the modified GS algorithm and a FIR noise shaping filter [23].…”
mentioning
confidence: 99%