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

Authors:
Iván Durán;Sergio Cruces
Affiliations:
Area de Teoría de la Señal y Comunicaciones, Escuela de Ingenieros, Universidad de Sevilla, Sevilla, Spain 41092;Area de Teoría de la Señal y Comunicaciones, Escuela de Ingenieros, Universidad de Sevilla, Sevilla, Spain 41092
Venue:
IWANN '03 Proceedings of the 7th International Work-Conference on Artificial and Natural Neural Networks: Part II: Artificial Neural Nets Problem Solving Methods
Year:
2009

Citing 1
Cited 1

Blind detection of asynchronous CDMA signals in multipath channelsusing code-constrained inverse filter criterion

IEEE Transactions on Signal Processing

A two-stage Independent Component Analysis-based method for blind detection in CDMA systems

Digital Signal Processing

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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 joint combination of several higher order statistics improves the detector performance.