Identification parameters of MA model and non-minumum phase channel using adaptive method

In this paper, we use an adaptive method for identifying of minimum phase channel parameters. We have selected two channels as the Proakis's `B' channel and the Macchi's channel. We compared this method with those based on the Higher Order Statistics. The obtained simulation results in noisy environment and for different data input channel, demonstrate that the adaptive method is efficient and can estimate the parameters of these channels blindly and without any information about the input, except that the input excitation is i.i.d (Identically and Independent Distributed) and non-Gaussian.