Blind adaptive multiuser detection and equalization in multipath CDMA channels using minor component analysis

The problem of joint blind multiuser detection and equalization in direct-sequence code division multiple access (DS-CDMA) systems is investigated. Based on the minimum output energy (MOE) criterion, the resultant receiver can suppress two kinds of interferences: multiple access interference (MAI) form other users and intersymbol interference (ISI). We develop a low computational complexity algorithm for adaptively implement the MOE receiver using minor component analysis (MCA) instead of eigenvalue value decomposition (EVD). In addition, the MCA-based algorithm has a fast convergence rate. Simulation results confirm that the proposed MCA-based method provides good performances in terms of channel estimation accuracy and output signal-to-interference-and-noise ratio (SINR).