Performance analysis of subspace-based signature waveform estimation algorithms for DS-CDMA systems with unknown correlated noise

We obtain analytical expressions for the mean-square error (MSE) of two recent popular blind subspace-based signature waveform estimation techniques proposed by Wang and Poor and Buzzi and Poor for direct-sequence code division multiple-access (DS-CDMA) systems with unknown correlated noise. Simple high SNR approximations of the obtained formulae are found that explicitly clarify how the performance of these techniques depends on the environmental parameters of interest and how it is related to that of the conventional techniques that are based on the standard white noise assumption.