Real-Time FPGA System for Modulation Format Identification of Optical Fiber Communication
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Typ
Examensarbete för masterexamen
Program
Embedded electronic system design (MPEES), MSc
Publicerad
2021
Författare
Wu, Candi
Modellbyggare
Tidskriftstitel
ISSN
Volymtitel
Utgivare
Sammanfattning
In flexible optical fiber communication systems, modulation format identification
(MFI) is a useful feature. Although many MFI methods have been proposed, most
of them are suitable for fixed channel conditions only. In addition, there exists no
hardware-based implementation for identifying more than two formats. In this the sis, two methods of real-time identification are implemented and evaluated. Both of
them passed software and hardware test. The method based on calculating informa tion entropy has the advantages of low hardware overhead and fast processing speed,
and another method using artificial neural network (ANN) has the advantages of
high accuracy and strong impairments tolerance. In the actual optical fiber commu nication system, different methods can be selected according to the characteristics
of this system.
Beskrivning
Ämne/nyckelord
fiber optical communication , modulation format identification , neural network , phase noise , linewidth , chromatic dispersion , FPGA