Real-Time FPGA System for Modulation Format Identification of Optical Fiber Communication

dc.contributor.authorWu, Candi
dc.contributor.departmentChalmers tekniska högskola / Institutionen för data och informationstekniksv
dc.contributor.examinerPeterson, Lena
dc.contributor.supervisorLarsson-Edefors, Per
dc.date.accessioned2021-10-19T07:36:28Z
dc.date.available2021-10-19T07:36:28Z
dc.date.issued2021sv
dc.date.submitted2020
dc.description.abstractIn 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.sv
dc.identifier.coursecodeDATX05sv
dc.identifier.urihttps://hdl.handle.net/20.500.12380/304266
dc.language.isoengsv
dc.setspec.uppsokTechnology
dc.subjectfiber optical communicationsv
dc.subjectmodulation format identificationsv
dc.subjectneural networksv
dc.subjectphase noisesv
dc.subjectlinewidthsv
dc.subjectchromatic dispersionsv
dc.subjectFPGAsv
dc.titleReal-Time FPGA System for Modulation Format Identification of Optical Fiber Communicationsv
dc.type.degreeExamensarbete för masterexamensv
dc.type.uppsokH
local.programmeEmbedded electronic system design (MPEES), MSc
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