An application of ICA to blind DS-CDMA detection: A joint optimization criterion

Abstract

This paper studies the application of the theory and algorithms of blind signal extraction to solve the problem of the detection of the desired users in a DS-CDMA communications system. Typically, the uplink in this system is characterized by users that transmit asynchronously and propagation channels that are multipath. We address inverse filter criterion introduced by Tugnait in [1] and we show that a prewhitening preprocessing approach together with the jpint combination of several higher order statistics improves the detector performance. © Springer-Verlag Berlin Heidelberg 2003.