DIGITAL FILTERS OPTIMISATION USING RESIDUAL LEARNING MODEL DIGITAL FILTERS FOR COHERENT OPTICAL RECEIVERS

Digital Filter Optimization (DFO) is one of the features that manages limiting the expansion of optical fiber transmission networks to exceedingly high speeds, large capacities, and great distances. DFO requires a great amount of computational effort, and this paper presents a novel optimisation technique that is based on the DFO approach. The optimisation approach that has been described has the potential to significantly cut down on the required quantity of mathematical effort that is essential for scenarios involving vast distances and enormous DFOs. When compared to the existing method that is the way that is most generally used, the proposed approach can reduce the complexity of the hardware implementation of commercial systems by more than 60%, and the optimisation impact is highlighted when the transmission distance is increased.