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Author Swindlehurst, A.L.
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©2000
Language English
Subject Domain (in DDC) Technology ♦ Engineering & allied operations ♦ Applied physics
Subject Keyword Channel estimation ♦ Decoding ♦ Transmitting antennas ♦ MIMO ♦ Wireless communication ♦ Scattering ♦ Training data ♦ Throughput ♦ Space time codes ♦ Receiving antennas
Abstract Multiple input, multiple output (MIMO) wireless communications links have been shown to have the potential for significant increases in capacity, provided they are deployed in an environment with rich multipath scattering. To realize these gains, a number of space-time coding strategies have previously been proposed. Most of these algorithms assume that, via training data, the channel is known at least on one end of the link. However if the channel is time-varying or even just quasi-stationary, the training overhead can offset much of the throughput gain. In this paper a space-time coding scheme is presented that allows for simultaneous blind or semi-blind channel estimation and decoding of the symbols transmitted by multiple users. The method relies on the use of "diagonal" space-time codes in which the same symbol is successively transmitted from each antenna in turn. This structure leads to a simple subspace-based algorithm that produces closed-form estimates of both the channel and the transmitted symbols. The algorithm is shown to be applicable to cases involving fewer receive than transmit antennas, rank-deficient channels, flat or frequency selective fading, and multiple users.
Description Author affiliation: Dept. of Electr. & Comput. Eng., Brigham Young Univ., Provo, UT, USA (Swindlehurst, A.L.)
ISBN 0780363396
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2000-03-17
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Size (in Bytes) 472.78 kB
Page Count 5
Starting Page 173
Ending Page 177

Source: IEEE Xplore Digital Library