Open AccessA Hardware Implementation of Neuro-PMD Model classifier based FPGA
Author(s) -
Wissam H. Ali,
Sammar Jaafar Ismail,
Reem Jaafar Ismail
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/765/1/012016
Subject(s) - computer science , classifier (uml) , polarization mode dispersion , field programmable gate array , vhdl , computer hardware , computer engineering , artificial intelligence , electronic engineering , optical fiber , engineering , telecommunications
A classifier (polarization mode dispersion) has been introduced in this article. The suggested NeuroPMD classifier uses various types of fiber optics, and it’s deviation effect properties to handle light transmission using Polarization Mode Desperation (PMD). The suggested classifier receives an unspecified signal with many percentage points, classifies it base on stored signals and shows the reliability of the received signal. The proposed system is built using VHDL, modeled by the Xilinx package (ISE 9.2i), the proposed NeuroPMD is implemented on the Spartan-3A XC3S700A kit. simulation and Implementation behavioral results demonstrate that the proposed model satisfies the specified operational requirements and gives solutions to overcome the scattering problems in the optical systems.