Devices, systems, and methods for processing optical components

Patent metadata

Field	Value
Publication number	US-12483328-B2
Application number	US-202017774210-A
Country	US
Kind code	B2
Filing date	Nov 5, 2020
Priority date	Nov 5, 2019
Publication date	Nov 25, 2025
Grant date	Nov 25, 2025

Abstract

A method comprising: receiving optical output data of an optical device; supplying the optical output data to a trained neural network configured to transform optical output data to optical performance metrics; and executing the trained neural network to transform the supplied optical output data to optical performance metrics for the optical device.

First claim

What is claimed is:

1 . A method comprising:
supplying, to a trained neural network, optical output data comprising an eye diagram generated from a waveform of an output of an optical device; and transforming, by the trained neural network, the optical output data to optical performance metrics for the optical device; wherein:
the optical device comprises a device selected from a group consisting of an optical transmitter and an optical receiver;
the optical performance metrics are related to transmission and dispersion eye closure quaternary (TDECQ) penalty methodologies.

2 . The method of claim 1 further comprising:
receiving the optical output data of the optical device.

3 . The method of claim 1 , wherein the optical performance metrics are further related to an optical communications system attached to the optical device.

4 . The method of claim 1 further comprising:
receiving the waveform of the output of the optical device; and
pre-processing the waveform to transform the waveform into the eye diagram.

5 . A testing device to perform the method of claim 1 comprising:
a transmitter configured to output an initial signal to the optical device, the optical device selected from a group consisting of an optical transmitter and an optical receiver and being configured to transport the initial signal;
an input configured to receive the transported signal from the optical device;
at least one processor; and
a memory having stored thereon instructions that, when executed by the at least one processor, control the at least one processor to:
generate the optical output data of the optical device based on the transported signal;
supply the optical output data comprising the eye diagram generated from the waveform of the output of the optical device to the trained neural network configured to transform the optical output data to the optical performance metrics; and
execute the trained neural network to transform the optical output data to the optical performance metrics qualifications for the optical device, the optical performance metrics being related to transmission and dispersion eye closure quaternary (TDECO) penalty methodologies.

6 . A method comprising:
supplying, to a trained convolutional neural network comprising extraction layers configured to perform convolutional filtering, optical output data related to an optical device; and transforming, by the trained convolutional neural network, the optical output data to one or more optical performance metrics for the optical device; wherein:
the optical output data is first fed to a first extraction layer of the extraction layers;
an input of each subsequent extraction layer comprises an output of each respective previous extraction layer; and
at least one of the optical performance metrics is a transmission and dispersion eye closure quaternary (TDECQ) measurement metric.

7 . The method of claim 6 , wherein:
the first extraction layer is an input extraction layer having a convolutional filter and a pooling layer, the optical output data being fed to the input extraction layer; a second extraction layer of the extraction layers has a convolutional filter and a pooling layer, an output of the input extraction layer being fed to the second extraction layer; and a third extraction layer of the extraction layers has a convolutional filter and a pooling layer, an output of the second extraction layer being fed to the third extraction layer.

8 . The method of claim 7 , wherein the pooling layer is a max pooling layer.

9 . The method of claim 6 further comprising:
capturing the optical output data using a test and measurement device.

10 . The method of claim 9 , wherein the test and measurement device comprises a device selected from a group consisting of a real-time scope and an equivalent-time scope.

11 . A method comprising:
capturing optical output data related to an optical device using a test and measurement device; supplying, to a trained neural network, the optical output data; and transforming, by the trained neural network, the optical output data to one or more optical performance metrics for the optical device; wherein:
the trained neural network is selected from the group consisting of a convolutional neural network, a two-dimensional convolutional neural network, and a one-dimensional convolutional neural network;
at least one of the optical performance metrics is a transmission and dispersion eve closure quaternary (TDECO) measurement metric; and
the capturing of the optical output data comprises:
outputting an initial analog signal from the test and measurement device into the optical device;
outputting an analog transmitted signal from the optical device; and
reading the analog transmitted signal from the optical device.

12 . The method of claim 11 further comprising:
transforming an initial digital signal to generate the initial analog signal; and
transforming the analog transmitted signal to a read digital signal.

13 . The method of claim 11 , wherein the initial analog signal is selected from a group consisting of a fixed initial analog signal and a variable initial analog signal.

Assignees

• Georgia Tech Res Inst

Inventors

• Varughese Siddharth Jacob
• Ralph Stephen E

Classifications

• H04B10/0799

  Monitoring line transmitter or line receiver equipment · CPC title

• G06N3/02

  Neural networks · CPC title

• H04B10/079

  using measurements of the data signal · CPC title

• H04B10/0795

  Performance monitoring; Measurement of transmission parameters · CPC title

• H04B10/07

  Arrangements for monitoring or testing transmission systems; Arrangements for fault measurement of transmission systems · CPC title