EURASIP Journal on Advances in Signal Processing 
Volume 2007 (2007), Article ID 83863, 14 pages
doi:10.1155/2007/83863
Research Article

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

Keyvan Zarifi and Alex B. Gershman

 Department of Communication Systems, Darmstadt University of Technology, Merckstraβe 25, Darmstadt 64283, Germany
Received 3 October 2005; Revised 30 March 2006; Accepted 1 April 2006

Recommended by Vincent Poor

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.