Nonlinear Adaptive Equalizer and Its Method Based on Fuzzy Integration of Pseudofilter

摘要

The present invention relates to a nonlinear adaptive equalizer and its method based on fuzzy integration of a similar filter in which a plurality of similar filters are integrated into a fuzzy inference form to configure a nonlinear filter and only one similar filter that wins in channel adaptation participates in learning. will be.;The present invention filters the received and decision feedback data streams using a plurality of similar filters integrated in the form of fuzzy inference, and outputs the normalized output values of the Gaussian functions that are functions of the distance between the input vector and each center. And multiply by and add all the multiplication values and then functionalize them to determine the received data.;Therefore, it can maintain the equalization performance of the existing nonlinear equalizer while having a similar amount of calculation as the linear DFF, and thus can be utilized as a real-time adaptive equalizer in a real system.