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                                       Details van artikel 32 van 49 gevonden artikelen
 
 
  On the Pulsewidth Analysis in the Presence of PMD and PDL in Optical Fibers Using Neural Network Algorithm
 
 
Titel: On the Pulsewidth Analysis in the Presence of PMD and PDL in Optical Fibers Using Neural Network Algorithm
Auteur: A. Sivasubramanian
V.C. Ravichandran
Verschenen in: Journal of computer science
Paginering: Jaargang 3 (2007) nr. 4 pagina's 238-241
Jaar: 2007
Inhoud: In long haul networks, the random birefringence induced in the optical fiber leads to aconsiderable Polarization Mode Dispersion (PMD). Polarization Dependent Loss (PDL) mainly occursin optical components and depends on the state of polarization of optical signals. The presence of PMDand PDL causes pulsewidth narrowing and the pulsewidth reduction depends on states of polarizationat which the input light launched and also the input pulsewidth. A system comprising of a PDLelement sandwiched between two PMD elements was considered. This system was characterized usingneural network approach. Back propagation algorithm was applied to train the network with four inputvectors namely PMD, PDL, input pulsewidth and the angle describing the input states of polarizationand one output vector indicating effective squared pulsewidth difference. On analysis, it was found thatthe pulsewidth reduction was higher for a PMD of 30ps, a PDL of 3.5 and input pulsewidth of 100ps atvarious (Linear and Circular) input states of polarization with the angle describing the input state ofpolarization to be |π/4|. Similarly, for a given value of PMD, PDL, input pulsewidth and a specificpulsewidth reduction, the input state of polarization at which the light was to be launched can also bedetermined using neural network approach.
Uitgever: Science Publications (provided by DOAJ)
Bronbestand: Elektronische Wetenschappelijke Tijdschriften
 
 

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