Blind joint equalization and multiuser detection for DS-CDMA in unknown correlated noise

The problem of blind demodulation of multiuser information symbols in a high-rate dispersive CDMA network in the presence of multiple-access interference (MAI), intersymbol interference (ISI) and unknown correlated ambient noise, is considered. It is assumed that the signal is received by two antennas well separated so that the output noise is spatially uncorrelated. Two subspace methods for estimating the dispersive channel response are examined, based respectively on the singular value decomposition (SVD) and the canonical correlation decomposition (CCD) of the cross-correlation matrix of the signals received by the two arrays. A linear MMSE receiver can be constructed once the channel estimate is obtained. Simulation results show that the CCD-based method substantially outperforms the SVD-based method