NDLI: On the blind multi-user detection of DS/CDMA signals using the independent component analysis (ICA)

Content Provider	IEEE Xplore Digital Library
Author	El-Khamy, S.E. Lotfy, M. Badawy, A.S. Farid, A.A.
Copyright Year	2003
Description	Author affiliation: Dept. of Electr. Eng., Alexandria Univ., Egypt (El-Khamy, S.E.; Lotfy, M.; Badawy, A.S.; Farid, A.A.)
Abstract	The blind multi-user detection of direct sequence code division multiple access (DS-CDMA) communication signals is considered in this paper. We utilize a mean of statistical technique called independent component analysis (ICA), which uses the higher order spectrum (HOS) analysis to extract independent source signals from a mixture of signals. This is known as blind source separation (BSS). A slowly-fading CDMA signal model, where the data is expressed as a linear combination of the convoluted independent symbol sequences is considered in this paper. The symbols estimation and the multiple-access interference suppression are affected by transforming the blind multi-user detection problem to an equivalent BSS problem. The used ICA algorithm is the fast fixed-point independent component analysis (FPICA) algorithm. The simulation results show the effectiveness of the ICA approach in the blind detection of DS-CDMA signals.
File Size	342226
File Format	PDF
ISBN	9775031753
DOI	10.1109/NRSC.2003.157350
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2003-03-20
Publisher Place	Egypt
Access Restriction	Subscribed
Rights Holder	Academy of Scientific Research and Tech
Subject Keyword	Independent component analysis Multiuser detection Multiaccess communication Source separation Direct-sequence code-division multiple access Signal analysis Data mining Blind source separation Interference suppression Signal detection
Content Type	Text
Resource Type	Article

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