Reduced rank matrix multistage wiener filter with applications in MMSE joint multiuser detection for DS-CDMA

A generalized statistical signal processing framework developed in [2] is utilized for interference suppression for Joint Multiuser Detection (MUD). Previous work on the efficient correlations subtractive architecture form of the reduced rank multistage Wiener filter (CSA-MWF) is extended by considering the multiple signal constraint case. The reduced rank algorithm is not based on an eigen-decomposition, which requires the signal subspace rank to be greater than or equal to the number of signals present in the system. The solution meets or exceeds full rank MMSE at a significantly reduced rank. System performance is characterized for a highly loaded synchronous DS-CDMA system in the presence of multi path. The bit error rate (BER) performance of the Joint CSA-MWF (JCSA-MWF) is compared to MMSE and RAKE receivers.