Comparative Study between Blind Identification Algorithms and Least Mean Square Algorithm for Non Minimum Phase Channel

In this paper we present a comparative study between four algorithms for identification of linear non minimum phase systems in noise environment case. The input sequence is assumed to be independent and identically distributed (i.i.d), zero mean and must be non-gaussian. In order to test the efficiency of these algorithms we have selected the Macchi channel. The simulation results in noisy environment and for different data input channel, demonstrates that the presented methods could estimate the phase and magnitude with different precision.