US 12,126,375 B2
Automatic trend identification and anomaly detection in optical channel monitoring spectrum
Stefano Piciaccia, Milan (IT); Pietro Invernizzi, Varese (IT); Enrico Sozio, Monza (IT); Alberto Arnaldo Tanzi, Trezzano sul Naviglio (IT); Prasenjeet Acharjee, Bangalore (IN); Antonino Maria Rizzo, Castelvetrano (IT); Giacomo Boracchi, Buccinasco (IT); Luca Magri, Milan (IT); and Cesare Alippi, Mandello del Lario (IT)
Assigned to CISCO TECHNOLOGY, INC., San Jose, CA (US)
Filed by Cisco Technology, Inc., San Jose, CA (US); and Politecnico di Milano, Dipartimento di Elettronica, Informazione e Bioingegneria, Milan (IT)
Filed on Jun. 17, 2022, as Appl. No. 17/843,285.
Prior Publication US 2023/0412267 A1, Dec. 21, 2023
Int. Cl. H04B 10/079 (2013.01)
CPC H04B 10/0795 (2013.01) 20 Claims
OG exemplary drawing
 
1. A computer-implemented method comprising:
obtaining optical channel spectrum data that includes amplified spontaneous emission data and channel data associated with optical signals propagated through an optical fiber;
fitting an amplified spontaneous emission trend to the amplified spontaneous emission data;
fitting a channel trend to the channel data;
jointly optimizing the amplified spontaneous emission trend and the channel trend to determine an optimized channel trend more closely corresponding to the amplified spontaneous emission trend than the channel trend corresponds to the amplified spontaneous emission trend; and
determining an anomaly in the channel data based upon the anomaly falling outside a predetermined threshold value of the optimized channel trend.