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Orthogonal space-time block codes: maximum likelihood detection for unknown channels and unstructured interferences
Department of Electrical and Computer Engineering, University of Florida, USA.
Department of Systems and Control, Uppsala University, Sweden.
Department of Electrical and Computer Engineering, University of Florida, USA.
2003 (English)In: IEEE Transactions on Signal Processing, ISSN 1053-587X, E-ISSN 1941-0476, Vol. 51, no 2, 362-372 p.Article in journal (Refereed) Published
Abstract [en]

Space-time coding (STC) schemes for communication systems employing multiple transmit and receive antennas have been attracting increased attention. The so-called orthogonal space-time block codes (OSTBCs) have been of particular interest due to their good performance and low decoding complexity. In this paper, we take a systematic maximum-likelihood (ML) approach to the decoding of OSTBC for unknown propagation channels and unknown noise and interference conditions. We derive a low-complexity ML decoding algorithm based on cyclic minimization and assisted by a minimum amount of training data. Furthermore, we discuss the design of optimal training sequences and optimal information transfer to an outer decoder. Numerical examples demonstrate the performance of our algorithm.

Place, publisher, year, edition, pages
2003. Vol. 51, no 2, 362-372 p.
National Category
Engineering and Technology
URN: urn:nbn:se:liu:diva-77064DOI: 10.1109/TSP.2002.806975OAI: diva2:524778
Available from: 2012-05-03 Created: 2012-05-03 Last updated: 2012-05-11

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Larsson, Erik G.
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