This paper presented the problem of blind identification and equalization using the third-order and fourth-order cumulants of a radio mobile channel. We describe two algorithms based on higher-order cumulants (HOC) for blind identification of the radio mobile channels (Bran A, Bran B, and Porkies (B)). Thus, we study the equalizer algorithm based on ZF and MMSE and the adaptive filtering algorithms LMS and RLS to estimate the parameters of the equalizer channel-that is to say, move to the channel estimation and therefore reflect the temporal variations of the channel and reduce the error in the transmitted signal. The simulation results in a noisy environment, and for different signal-to noise-ratios (SNR), demonstrate that the proposed algorithms are able to estimate the impulse response of radio mobile channels. In the part of equalization, we use the zero forcing (ZF) and the minimum mean square error (MMSE) for the equalization of the radio mobile channel with MC-CDMA signal. Thus, we test the performance of the adaptive filtering LMS and RLS algorithms compared to the algorithms based on ZF and MMSE criteria.