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Space-time block codes: A maximum SNR approach
Uppsala University, Teknisk-naturvetenskapliga vetenskapsområdet, Mathematics and Computer Science, Department of Information Technology. Uppsala University, Teknisk-naturvetenskapliga vetenskapsområdet, Mathematics and Computer Science, Department of Information Technology, Automatic control. DEPARTMENT OF SYSTEMS AND CONTROL.
Uppsala University, Teknisk-naturvetenskapliga vetenskapsområdet, Mathematics and Computer Science, Department of Information Technology. Uppsala University, Teknisk-naturvetenskapliga vetenskapsområdet, Mathematics and Computer Science, Department of Information Technology, Automatic control.
2001 (English)In: IEEE TRANSACTIONS ON INFORMATION THEORY, ISSN 0018-9448, Vol. 47, no 4, 1650-1656 p.Article in journal (Refereed) Published
Abstract [en]

In a recent work space-time block codes were introduced to obtain coded diversity for a multiple-antenna communication system. In this work, we cast space-time codes in an optimal signal-to-noise ratio (SNR) framework and show that they achieve the maximum SNR and, in fact, they correspond to a generalized maximal ratio combiner. The maximum SNR framework also helps in calculating the distribution of the SNR and in deriving explicit expressions for bit error rates.

We bring out the connection between the theory of amicable orthogonal designs and space-time codes. Based on this, we give a much simpler proof to one of the main theorems on space-time codes for complex symbols. We present a rate $1/2$ code for complex symbols which has a smaller delay than the code already known. We also present another rate $3/4$ code which is simpler than the one already known, in the sense it does not involve additions or multiplications. We also point out the connection between generalized real designs and generalized orthogonal designs.

Place, publisher, year, edition, pages
2001. Vol. 47, no 4, 1650-1656 p.
Keyword [en]
amicable orthogonal designs; antenna diversity; space-time block codes
Identifiers
URN: urn:nbn:se:uu:diva-36501OAI: oai:DiVA.org:uu-36501DiVA: diva2:64400
Note
Addresses: Ganesan G, Uppsala Univ, Dept Syst & Control, SE-75103 Uppsala, Sweden. Uppsala Univ, Dept Syst & Control, SE-75103 Uppsala, Sweden.Available from: 2007-02-08 Created: 2007-02-08 Last updated: 2011-01-13

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http://ieeexplore.ieee.org/iel5/18/19972/00923754.pdf?isnumber=19972&prod=JNL&arnumber=923754&arSt=1650&ared=1656&arAuthor=Ganesan%2C+G.%3B+Stoica%2C+P.

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Stoica, P

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