Abstract: To improve the performances of the wireless mobile communication system, a statistical method is illustrated in this study. It consists in separating the signals at the reception of the communication systems which are based on the Code Division Multiple Access technology. The idea is to optimize the separation of the various users sharing the same frequency and temporal resources using the emergent statistical method called Independent Component Analysis (ICA). ICA makes it possible to extract the emitted signals that are as statistically independent as possible. Bit error rate and the signal to noise ratio are used as criteria for evaluating the performances of the ICA receiver. Adding White Gaussian Noise to input signal channel and the Rayleigh channel (fading channel) cases have been considered. A comparative study with the conventional receivers such as the RAKE, the Matched filter (Mf) and the Minimum Mean-Squared Error is carried out. The obtained results show the superiority of ICA receiver compared to the MF receiver.