Blind channel estimation for CDMA based on modulation-induced cyclostationarity

In this paper, a novel approach is presented for the CDMA channel identification. The approach makes use of the modulation-induced cyclostationarity to separate the second order cyclic statistics for every user, and being able to identify individual channels of different users. The approach is rather simple, suitable for the CDMA uplink. The optimum condition for modulating sequences is originally discussed, and a new channel identifiability condition with its proof is included in the paper. And finally the identification algorithm is given with simulation results.