Blind identification of indoor broadband radio access network using cumulants

This paper describes a blind algorithm for estimating a time varying and frequency selective fading channel, representing the indoor broadband radio access network. In order to identify blindly the impulse response of this channel, we have used Higher Order Statistics (HOS). or cumulants, to build our algorithm, whitch is compared with the Zhang´s one. The simulation results, in presence of colored noise and for different data input channel. demonstrate that the proposed algorithm give good estimation of the phase and magnitude. comparing to the Zhaug´s, one of these channels blindly (i.e without any information about the input), except that the input excitation is i.i.d (Identically and Independent Distributed) and non-Gaussian.