NDLI: Receiver diversity with blind and semi-blind FIR SIMO channel estimates

Content Provider	IEEE Xplore Digital Library
Author	Omar, S.-M. Slock, D.T.M. Bazzi, O.
Copyright Year	2010
Description	Author affiliation: Mobile Communications Dept., EURECOM, BP 193, 06904 Sophia Antipolis Cdx, France (Omar, S.-M.; Slock, D.T.M.) \|\| Dept. of Physics and Electronics, Faculty of Sciences I, Lebanese University, Hadath, Beirut, Lebanon (Bazzi, O.)
Abstract	Traditionally, the performance of blind SIMO channel estimates has been characterized in a deterministic fashion, by identifying those channel realizations that are not blindly identifiable. In this paper, we focus instead on the performance of Zero-Forcing (ZF) Linear Equalizers (LEs) or Decision-Feedback Equalizers (DFEs) for fading channels when they are based on (semi-)blind channel estimates. Although it has been known that various (semi-)blind channel estimation techniques have a receiver counterpart that is matched in terms of symbol knowledge hypotheses, we show here that these (semi-)blind techniques and corresponding receivers also match in terms of diversity order: the channel becomes (semi-)blindly unidentifiable whenever its corresponding receiver structure goes in outage. In the case of mismatched receiver and (semi-blind) channel estimation technique, the lower diversity order dominates. Various cases of (semi-)blind channel estimation and corresponding receivers are considered in detail. To be complete however, the actual combination of receiver and (semi-)blind channel estimation lowers somewhat the diversity order w.r.t. the ideal picture.
Starting Page	1
Ending Page	6
File Size	3931858
Page Count	6
File Format	PDF
ISBN	9781424462858
e-ISBN	9781424462872
DOI	10.1109/ISCCSP.2010.5463390
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-03-03
Publisher Place	Cyprus
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Fading blind Transfer functions Process control Probability Decision feedback equalizers Delay receiver diversity channel estimation Channel estimation Receiving antennas Finite impulse response filter OFDM modulation semi-blind imperfect channel state information
Content Type	Text
Resource Type	Article

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