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DSP for Optical Communications
Goal of this thesis is to develop a novel learning algorithm in Matlab. This could be pave the way to mitigate the undesirable linear and non-linear distortions of electrical and optical transmitter components and increase the performance, i.e. the signal-to-noise ratio of the optical transmitter.
Keywords: Volterra series, non-linear system with memory,
pre-distortion, high baud rate system, high modulation formats,
transmitter limitations, digital signal processing
Today’s information society (e.g. mobile data traffic, cloud services, file sharing, media streaming, IoT, …) relies heavily on a high capacity fiber communication infrastructure.
Digital signal processing (DSP) is a key enabler to increase the capacity of such communication system. Furthermore, DSP gives the capability to detect and recover physical effects in the optical transmission channel. Another aspect is the flexibility, which allows for adaption to different transmission scenarios.
Today’s information society (e.g. mobile data traffic, cloud services, file sharing, media streaming, IoT, …) relies heavily on a high capacity fiber communication infrastructure. Digital signal processing (DSP) is a key enabler to increase the capacity of such communication system. Furthermore, DSP gives the capability to detect and recover physical effects in the optical transmission channel. Another aspect is the flexibility, which allows for adaption to different transmission scenarios.
We develop a new pre-distortion learning algorithm to mitigate the undesirable linear and non-linear distortions of electrical and optical transmitter components. As a result, one is able to increase the signal-to-noise ratio (SNR) and therefore, the capacity in the optical communication channel.
The algorithm is implemented in Matlab, simulated in Matlab and tested in an experimental setup in the optical communications laboratory. In the laboratory, we investigate the behaviour under physical impairments in an experimental optical communication systems.
This thesis provides an opportunity to gain knowledge
and experience in optical communication system and strengthen skills in implementing DSP in Matlab. Besides, this is an opportunity to work experimentally in a laboratory and to get familiar with the usage of high-speed electronics and optical components.
We develop a new pre-distortion learning algorithm to mitigate the undesirable linear and non-linear distortions of electrical and optical transmitter components. As a result, one is able to increase the signal-to-noise ratio (SNR) and therefore, the capacity in the optical communication channel. The algorithm is implemented in Matlab, simulated in Matlab and tested in an experimental setup in the optical communications laboratory. In the laboratory, we investigate the behaviour under physical impairments in an experimental optical communication systems. This thesis provides an opportunity to gain knowledge and experience in optical communication system and strengthen skills in implementing DSP in Matlab. Besides, this is an opportunity to work experimentally in a laboratory and to get familiar with the usage of high-speed electronics and optical components.
Block Diagram of the experimental setup: Electrical back-to-back digital pre-compensation algorithm (DPC)
Block Diagram of the experimental setup: Electrical back-to-back digital pre-compensation algorithm (DPC)