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.
This work has been supported by the CICYT project of the Government of Spain (Grant TIC2001-0751-C04-04).
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References
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© 2003 Springer-Verlag Berlin Heidelberg
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Durán, I., Cruces, S. (2003). An application of ICA to blind DS-CDMA detection: a joint optimization criterion. In: Mira, J., Álvarez, J.R. (eds) Artificial Neural Nets Problem Solving Methods. IWANN 2003. Lecture Notes in Computer Science, vol 2687. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44869-1_39
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DOI: https://doi.org/10.1007/3-540-44869-1_39
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