Estimation of continuous flat fading MIMO channels

Multiple input multiple output (MIMO) systems can provide high data rate wireless services in a rich scattering environment. We study one of the proposals for MIMO systems, the Bell Labs Layered Space-Time (BLAST) architecture. Channel estimation using training sequences is required for coherent det...

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Bibliographic Details
Published in2002 IEEE Wireless Communications and Networking Conference Record. WCNC 2002 (Cat. No.02TH8609) Vol. 1; pp. 189 - 193 vol.1
Main Authors Qinfang Sun, Cox, D.C., Huang, H.C., Lozano, A.
Format Conference Proceeding
LanguageEnglish
Published IEEE 2002
Subjects
Channel estimation
Error analysis
Estimation error
Fading
Maximum likelihood detection
Maximum likelihood estimation
MIMO
Proposals
Scattering
Throughput
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Summary:Multiple input multiple output (MIMO) systems can provide high data rate wireless services in a rich scattering environment. We study one of the proposals for MIMO systems, the Bell Labs Layered Space-Time (BLAST) architecture. Channel estimation using training sequences is required for coherent detection in BLAST. We apply the maximum likelihood (ML) channel estimator and the optimal training sequences for block flat fading channels to continuous flat fading channels, and analyze the estimation error. The optimal training length and training interval that maximize the throughput for a given target bit error rate are found by computer simulations as functions of the Doppler frequency and the number of antennas.
ISBN:9780780373761
0780373766
DOI:10.1109/WCNC.2002.993488