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

EURASIP Journal on Advances in Signal Processing volume 2007, Article number: 083863 (2006) Cite this article

Abstract

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.

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Authors and Affiliations

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

    Keyvan Zarifi & Alex B. Gershman

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  1. Keyvan Zarifi
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  2. Alex B. Gershman
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Correspondence to Keyvan Zarifi.

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Open Access This article is distributed under the terms of the Creative Commons Attribution 2.0 International License ( https://creativecommons.org/licenses/by/2.0 ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Zarifi, K., Gershman, A.B. Performance Analysis of Blind Subspace-Based Signature Estimation Algorithms for DS-CDMA Systems with Unknown Correlated Noise. EURASIP J. Adv. Signal Process. 2007, 083863 (2006). https://doi.org/10.1155/2007/83863

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