Robust blind multiuser detection based on worst-case MMSE performance optimization

Keyvan Zarifi, Shahram Shahbazpanahi, Alex B. Gershman, Zhi Quan Luo

Research output: Contribution to journalConference articlepeer-review

1 Scopus citations

Abstract

In this paper, we propose a new blind multiuser receiver which is robust against the effects of erroneously presumed desired user signature and short data length. Our approach is based on the explicit modeling of possible mismatches in the mean-square error cost function and worst-case performance optimization. We show that this approach leads to a multiuser receiver which uses the data covariance matrix with an adaptive diagonal loading. Simulation results show performance improvements achieved by our approach relative to existing techniques.

Original languageEnglish (US)
Pages (from-to)IV-897-IV-900
JournalICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume4
StatePublished - 2004
EventProceedings - IEEE International Conference on Acoustics, Speech, and Signal Processing - Montreal, Que, Canada
Duration: May 17 2004May 21 2004

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