NDLI: Simultaneous channel estimation and decoding for diagonal space-time codes

Content Provider	IEEE Xplore Digital Library
Author	Swindlehurst, A.L.
Copyright Year	2000
Description	Author affiliation: Dept. of Electr. & Comput. Eng., Brigham Young Univ., Provo, UT, USA (Swindlehurst, A.L.)
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.
Starting Page	173
Ending Page	177
File Size	484130
Page Count	5
File Format	PDF
ISBN	0780363396
DOI	10.1109/SAM.2000.877992
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2000-03-17
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Channel estimation Decoding Transmitting antennas MIMO Wireless communication Scattering Training data Throughput Space time codes Receiving antennas
Content Type	Text
Resource Type	Article

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