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  • Research Article
  • Open Access

Blind Multiuser Detection for Long-Code CDMA Systems with Transmission-Induced Cyclostationarity

EURASIP Journal on Wireless Communications and Networking20052005:621515

  • Received: 30 April 2004
  • Published:


We consider blind channel identification and signal separation in long-code CDMA systems. First, by modeling the received signals as cyclostationary processes with modulation-induced cyclostationarity, long-code CDMA system is characterized using a time-invariant system model. Secondly, based on the time-invariant model, multistep linear prediction method is used to reduce the intersymbol interference introduced by multipath propagation, and channel estimation then follows by utilizing the nonconstant modulus precoding technique with or without the matrix-pencil approach. The channel estimation algorithm without the matrix-pencil approach relies on the Fourier transform, and requires additional constraint on the code sequences other than being nonconstant modulus. It is found that by introducing a random linear transform, the matrix-pencil approach can remove (with probability one) the extra constraint on the code sequences. Thirdly, after channel estimation, equalization is carried out using a cyclic Wiener filter. Finally, since chip-level equalization is performed, the proposed approach can readily be extended to multirate cases, either with multicode or variable spreading factor. Simulation results show that compared with the approach using the Fourier transform, the matrix-pencil-based approach can significantly improve the accuracy of channel estimation, therefore the overall system performance.


  • long-code CDMA
  • multiuser detection
  • cyclostationarity

Authors’ Affiliations

Department of Electrical and Computer Engineering, Michigan State University, East Lansing, MI 48824, USA
Department of Electrical and Computer Engineering, University of California, Davis, CA 95616, USA
Department of Electrical and Computer Engineering, Auburn University, Auburn, AL 36849, USA


© Li et al. 2005

This article is published under license to BioMed Central Ltd. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.