Using A Fuzzy Number Error Correction Approach to Improve Algorithms in Blind Identification

Abstract

As part of a detailed study on blind identification of Gaussian channels, the main  purpose was  to propose an algorithm based on cumulants and  fuzzy number approach  involved throughout the whole process of identification. Our objective was to compare the new design of the algorithm to the old one using the  higher order cumulants, namely  Alg1, Algat  and the Giannakis  algorithm. We were  able to demonstrate that the proposed method -fuzzy number error correction- increases the performance of the algorithm by calculating the ratio of squared errors of ALGaT and  AlgatF. The method can be applied to any algorithm for more improvement and effinciency.