PROJECT TITLE :

Noise Suppression Mechanisms in Regenerators Based on XGC in an SOA With Subsequent Optical Filtering

ABSTRACT:

A theoretical model is presented to analyze the noise suppression characteristics in cross-gain-compression (XGC)-based regenerators, where an optical bandpass filter (BPF) is cascaded after a semiconductor optical amplifier (SOA). Analytical expressions of variance are obtained for in-phase and quadrature noises after SOA and after filter. The result shows that the physical mechanism behind XGC-based noise suppression is that gain change in the SOA is out of phase with the input power fluctuation, which leads to a negative cross-correlation term in the expression of in-phase noise variance at SOA output. On the other hand, nonlinear phase noise introduced by refractive index change in the SOA will contributes to quadrature noise, which is proportional to the square of the linewidth enhancement factor ~ αN2. It is proposed that a slightly blue-shifted optical BPF can convert phase/quadrature noise-related frequency chirp into amplitude fluctuation that can cancel a part of the amplitude fluctuation after SOA, thus lead to further reduction of in-phase noise. This mechanism can be used to alleviate the negative effect of SOA-induced nonlinear phase noise and enhance the overall noise suppression performance of XGC-based regenerators, which is experimentally and numerically demonstrated at 10 Gbit/s.


Did you like this research project?

To get this research project Guidelines, Training and Code... Click Here


PROJECT TITLE : Physics-based Noise Modeling for Extreme Low-light Photography ABSTRACT: Improving one's visibility in conditions of extremely low light is a difficult task to undertake. In conditions with almost no light, the
PROJECT TITLE : Discretization Using Combination of Heuristics for High Accuracy with Huge Noise Reduction ABSTRACT: In the course of time, a number of discretization algorithms have been developed; however, the issue of how
PROJECT TITLE : Accurate Transmission Estimation for Removing Haze and Noise From a Single Image ABSTRACT: Image noise frequently results in depth-dependent artefacts while dehazing a single image. For noisy and foggy inputs,
PROJECT TITLE : Morphology-Based Noise Reduction Structural Variation and Thresholding in the Bitonic Filter ABSTRACT: It was recently designed to represent the innovative concept of signal bitonicity (one local extremum within
PROJECT TITLE : Noise-Robust Iterative Back-Projection ABSTRACT: As a result of denoising, noisy image super-resolution (SR) is a substantial challenge. There is no clean reference image for iterative back-projection (IBP), which

Ready to Complete Your Academic MTech Project Work In Affordable Price ?

Project Enquiry