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  • Research Article
  • Open Access

Performance Analysis of Blind Subspace-Based Signature Estimation Algorithms for DS-CDMA Systems with Unknown Correlated Noise

EURASIP Journal on Advances in Signal Processing20062007:083863

  • Received: 3 October 2005
  • Accepted: 1 April 2006
  • Published:


We analyze the performance of two popular blind subspace-based signature waveform estimation techniques proposed by Wang and Poor and Buzzi and Poor for direct-sequence code division multiple-access (DS-CDMA) systems with unknown correlated noise. Using the first-order perturbation theory, analytical expressions for the mean-square error (MSE) of these algorithms are derived. We also obtain simple high SNR approximations of the MSE expressions which explicitly clarify how the performance of these techniques depends on the environmental parameters and how it is related to that of the conventional techniques that are based on the standard white noise assumption. Numerical examples further verify the consistency of the obtained analytical results with simulation results.


  • White Noise
  • Estimation Algorithm
  • Quantum Information
  • Estimation Technique
  • Conventional Technique

Authors’ Affiliations

Department of Communication Systems, Darmstadt University of Technology, Merckstraβe 25, Darmstadt, 64283, Germany


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© K. Zarifi and A. B. Gershman 2007

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.