Blind Channel Estimation in Multicode CDMA Using Multiantenna Receiver

  • Authors:
  • Maarit Melvasalo;Visa Koivunen

  • Affiliations:
  • Signal Processing Laboratory, SMARAD CoE, Helsinki University of Technology, P.O. Box 3000, FIN-02015 HUT, Finland E-mail: maarit.melvasalo@hut.fi;Signal Processing Laboratory, SMARAD CoE, Helsinki University of Technology, P.O. Box 3000, FIN-02015 HUT, Finland E-mail: visa.koivunen@hut.fi

  • Venue:
  • Wireless Personal Communications: An International Journal
  • Year:
  • 2004

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Abstract

In this paper blind channel estimation methods for long code CDMA system withmulticode transmission are proposed. By allocating multiple codes, higher data rates may be provided to a user.Blind channel estimationallows reducing pilot signaling. Hence, higher effective data rates may beachieved and larger sample support may be obtained by using both the informationsymbols and known pilot symbols for channel estimation. Algorithms are extended to multi-antenna receiver which further improves theperformance.The performance of the algorithms is studied in extensive simulations usingWCDMA system model.The effects of code selection, interference and noise, number of antennas,antenna correlationare considered using frequency selective channel models. The proposed methods are more robust in the face of interference and code selection than the well-known subspace method in\cite{WF99}. The computational complexity is lower as well.