A new blind signature waveform estimation approach in antenna array CDMA systems

In this paper, we propose a new blind desired user' signature waveform estimation approach in antenna array CDMA systems. Unlike many existing blind channel identification methods based on subspace, relying on the orthogonality between the signal and noise subspace and a certain channel constraint, the proposed method will directly obtain the total channel convolution matrix of all users by exploiting the cyclostationarity of received signals. It is more accurate at a little higher signal-to-noise ratio (SNR). We find out the solution to the desired user' signature waveform necessary to multiuser detection (MUD) given the estimated channel convolution matrix in this paper. The simulation results for MIMO systems show that the proposed method has superior performance over some existing methods at a little higher SNR.