Houbing Song (University of Virginia), “Model-Centric Approach to Discrete-Time Signal Processing for Dense Wavelength-Division Multiplexing Systems” (2012)

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Houbing Song (University of Virginia), “Model-Centric Approach to Discrete-Time Signal Processing for Dense Wavelength-Division Multiplexing Systems” (2012)

Houbing Song (University of Virginia), “Model-Centric Approach to Discrete-Time Signal Processing for Dense Wavelength-Division Multiplexing Systems”, Advisor: Prof. Maite Brandt-Pearce. (2012)

Dense wavelength-division multiplexing (DWDM) is the solution of choice for high-capacity optical backbone networks. However, in long-haul DWDM systems with periodic dispersion compensation and amplification, all-optical communications give rise to severe physical impairments, due to fiber dispersion and nonlinearity, together with noise due to amplified spontaneous emission (ASE), that adversely degrade system performance. To mitigate these physical impairments and fully exploit the system capacity of long-haul DWDM systems, a mathematical model that describes the input-output relationship of these systems and characterizes various physical impairments is required to serve as the foundation of discrete-time signal processing for fiber-optic communication systems.

This dissertation develops a model-centric approach for discrete-time signal processing for long-haul DWDM systems and addresses the development, validation and applications of a 2D discrete-time model of physical impairments in long-haul DWDM systems with periodic dispersion compensation and amplification.

For details, please view here or contact the author.

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