Blind identification and equalization of channel based on higher-order cummulants: Application of MC-CDMA systems

In each communication system an identification of the transmission channel between the transmitter and the receiver, it is necessary to identify the parameters of channel. Several methods exist, the most commonly used methods are learning by sending occasionally a known sequence between the transmitter and the receiver. In order to solve the problem of channels identification and save the resource of bandwidth, we use blind techniques which are a great interest to have the best compromise between a suitable bit rate and quality of the information retrieved. In this paper we describe tree blind algorithms witch are based on high order cumulant (HOC). In order to identify the impulse of two selective frequency fading channels called Broad Radio Access Network (BRAN A and BRAN E). Our contribution in this work is to make a comparative study between different algorithms of blind identification, compared with a supervised such as RLS algorithm. The simulation results are in a noisy environment with different SNR, demonstrate that the proposed algorithm is better to estimate blindly the impulse response of these channels (without any information about the input).