2009
DOI: 10.1016/j.yofte.2008.04.002
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Design tool and its experimental validation for SOA-based photonic signal processing

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Cited by 8 publications
(5 citation statements)
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“…The relationship of the three size dimensions, ie. total volume, to the confinement also determines the SOA output saturation power [22].…”
Section: B Simulationsmentioning
confidence: 99%
“…The relationship of the three size dimensions, ie. total volume, to the confinement also determines the SOA output saturation power [22].…”
Section: B Simulationsmentioning
confidence: 99%
“…In [38], the dynamic SOA response for modulated optical signals up to 10 Gb/s was obtained by using a so called reservoir model, which adapted parameters previously obtained from a steady-state response model presented in [39]. The dynamic response modeling applied to SOA-based photonic processing, especially using XGM (Cross-Gain Modulation), is presented in [40]. A Equivalent Circuit Calibration (Simulink) By taking advantage of the constructive similarities between SOAs and semiconductor lasers (as a matter of fact, the first is basically the second with anti-reflective coatings in its active region facets),…”
Section: Computational Model and Parameter Extraction Of High Speed Smentioning
confidence: 99%
“…The SOA active region's optical confinement factor, width and thickness are parameters of greater interest and impact on the overall static behavior and, then, firstly analysed. The relationship among these three parameters also determines the saturation power of the SOA output [40]. To analyse the joint relationship among them, a simultaneous scan of the three parameters was performed, resulting in the initial SOA gain curve calibration presented in Fig 5(a).…”
Section: Static Gain Calibrationmentioning
confidence: 99%
“…P 1 and P 0 are respectively the mark and space power level [in watt] at the SOA output and the extinction ratio (defined as ex = P 1 /P 0 ) can be evaluated from the simulation of our model. When the mark and space level variances of the signal are σ 2 1 and σ 2 0 , respectively, the Q -factor of the received signal at the receiver can be expressed as (Das Barman et al 2009…”
Section: Calculation To Evaluate Ber For the Proposed Modelmentioning
confidence: 99%