Abstract

We proposed a real-time optical spectrum analysis method with one-dimensional convolutional neural network to identify rogue ONUs in PON. Experimental results show that 100% rogue ONU identification accuracy is achieved within 12.6 milliseconds on average.

© 2019 The Author(s)

PDF Article

References

You do not have subscription access to this journal. Citation lists with outbound citation links are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access OSA Member Subscription