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.
Keywords
- Input Multiple Output
- Independent Component Analysis
- Symbol Sequence
- High Order Statistic
- Cumulant Order
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
This work has been supported by the CICYT project of the Government of Spain (Grant TIC2001-0751-C04-04).
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References
Tugnait, Jitendra K. and Li, Tongtong: Blind Detection of Asynchronous CDMA Signals in Multipath Channels Using Code-Constrained Inverse Filter Criterion. IEEE Trans. Signal Processing, Vol. 49, No. 7, pp. 1300–1309, Jul. 2001
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Schniter, Phil and Johnson Jr., C. Richard: Minimum-Entropy Blind Acquisition/Equalization for Uplink DS-CDMA. Allerton Conference on Communication, Control and Computing, 1998.
Gesbert, D., Sorelius, J. and Paulraj, A.: Blind Multiuser MMSE Detection of CDMA Signals, Proc. of ICASSP, 1998.
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De Lathauwer, L., Comon, P., De-Moor, B., and Vandewalle, J.: Higher-order power method—application in independent component analysis. International Symposium on Nonlinear Theory and Applications NOLTA, Dec. 1995.
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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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Print ISBN: 978-3-540-40211-4
Online ISBN: 978-3-540-44869-3
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