A Hardware Implementation of Neuro-PMD Model classifier based FPGA

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.