An eye diagram is a useful tool for understanding signal impairments in the physical layer of high-speed digital data systems, verifying transmitter output compliance, and revealing the amplitude and time distortion elements that degrade the BER for diagnostic purposes. The resulting image takes on a distinct eye-like shape, from which engineers can discern important signal characteristics. This document discusses measurement of dispersion, numerical aperture (NA), and eye diagrams in optical fiber communication. It defines dispersion as pulse broadening of light wave signals, and describes three types: intermodal, chromatic, and polarization mode dispersion. So let's start with the basic knowledge of what communication is. Automating eye-diagram measurement using Python enhances accuracy and efficiency in signal quality analysis. The Q-factor, derived from signal parameters, indicates signal quality and inversely correlates with Bit Error Rate (BER). Eye-diagram analysis relies on parameters like eye-opening.
[PDF Version]