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A Systematic Space-Time Code Design and Its Maximum-Likelihood Decoding for Combined Channel Estimation and Error Correction
KTH, School of Electrical Engineering (EES), Communication Theory.ORCID iD: 0000-0002-7926-5081
2009 (English)In: 2009 IEEE INTERNATIONAL SYMPOSIUM ON INFORMATION THEORY, NEW YORK: IEEE , 2009, 764-768 p.Conference paper (Refereed)
Abstract [en]

Several previous works have confirmed that a joint design that combines channel estimation, channel coding and space-time transmission can improve the system performance over that of a separate design. These conclusions are however in general based on unstructured solutions obtained using computer search. The coding gain of these joint designs is therefore limited by both the computer-searchable "short" code length and the compromise between "suboptimal" performance and "high" complexity of their optimal decoding. At this background, we propose a systematic space-time code construction for joint channel estimation and error correction for a two-transmit-antenna and half-rate system. Also proposed is its maximum-likelihood decoder that follows a priority-first search principle. Our systematic code construction, together with a fairly low-complexity optimal decoder, then allows one to work with longer codes with no sacrifice in performance. For codes of short block length, our simulations illustrate that the codes we propose have comparable performance to the best computer-searched codes. For codes of long block lengths that are almost beyond the searchable range of existing computer systems, our codes are still better than some reference designs based on separate channel estimation and error correction components.

Place, publisher, year, edition, pages
NEW YORK: IEEE , 2009. 764-768 p.
Keyword [en]
Block lengths, Code length, Coding gains, Combined channels Computer search, Half-rate, Joint channel estimation, Joint designs;
National Category
Computer and Information Science
URN: urn:nbn:se:kth:diva-28931DOI: 10.1109/ISIT.2009.5205641ISI: 000280141400156ScopusID: 2-s2.0-70449507846ISBN: 978-1-4244-4312-3OAI: diva2:399672
IEEE International Symposium on Information Theory (ISIT 2009) Seoul, SOUTH KOREA, JUN 28-JUL 03, 2009
QC 20110223Available from: 2011-02-23 Created: 2011-01-25 Last updated: 2011-02-23Bibliographically approved

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Skoglund, Mikael
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