Non Minimum Phase Channel Estimation by Blind and Adaptive algorithms

Abstract

In this paper the problem of the Non MinimumPhase (NMP) channel identification using blind and adaptivealgorithms is theoretically and numerically evaluated in noiseenvironment case for different signal to noise ratio (SNR). Forthis problem, three blind algorithms based on Higher OrderCumulants (HOC) versus adaptive algorithms, i.e. RecursiveLeast Squares (RLS) and Least Mean Squares (LMS) arepresented. In order to assess the performance of these approachesto identify the parameters of non minimum phase channels,we have selected the Macchi channel model. The simulationresults in noisy environment and for different data input channel,provided to illustrate the performance of the blind approachesand compare them with adaptive algorithms.