Large-sample performance of blind and Group-blind multiuser detectors: a perturbation perspective

Authors:
Zhengyuan Xu;Xiaodong Wang
Affiliations:
Dept. of Electr. Eng., Univ. of California, Riverside, CA, USA;-
Venue:
IEEE Transactions on Information Theory
Year:
2006

Citing 0
Cited 2

Widely linear versus linear blind multiuser detection with subspace-based channel estimation: finite sample-size effects

IEEE Transactions on Signal Processing
Large system spectral analysis of covariance matrix estimation

IEEE Transactions on Information Theory

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Abstract

In blind and group-blind multiuser detection, different detectors can be designed using either the sample data covariance matrix directly or its eigencomponents. Due to finite-sample effect in practice, their performance deviates from the corresponding optimum. A perturbation technique is developed rigorously and systematically to analyze those detectors in this work. Subject to the assumption that the first-order perturbation dominates, corresponding results can be applied to a practical system of a given sample size. In particular, performance of the following typical detectors is studied for either flat or estimated multipath channels: direct-matrix-inversion (DMI) blind minimum mean-square error (MMSE) detector, subspace blind MMSE detector, direct zero-forcing (ZF) detector, subspace ZF detector, and group-blind hybrid detector. Simulation examples further verify various analytical results.