Interference Cancellation and Blind Equalization for Linear Multi-User Systems

Potential applications of blind channel identification and equalizationinwireless communication systems have been recently explored. For multi-user systems that areirreducible and column-reduced,second order statistical methods normally can identify channel dynamics up to a unitary mixing matrix. In this paper, we investigate the equalizability of desired users and the cancellation of unwanted interfering signals basedonsecond order output statistics. We show that a desired user channel can beequalizedifithas the longest memory. Furthermore, interfering user signals can becancelled under a morerelaxed multi-user channel condition