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Full diversity detection in MIMO systems with a fixed-complexity sphere decoder
KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre. KTH, School of Electrical Engineering (EES), Signal Processing.ORCID iD: 0000-0001-6630-243X
Joint Research Institute for Signal & Image Processing, University of Edinburgh, EH9 3JL Edinburgh, UK.
KTH, School of Electrical Engineering (EES), Signal Processing. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.ORCID iD: 0000-0003-2298-6774
Joint Research Institute for Signal & Image Processing, University of Edinburgh, EH9 3JL Edinburgh, UK.
2007 (English)In: 2007 IEEE International Conference on Acoustics, Speech, and Signal Processing, IEEE , 2007, 49-52 p.Conference paper, Published paper (Refereed)
Abstract [en]

The fixed-complexity sphere decoder (FSD) has been previously proposed for multiple input-multiple output (MIMO) detection to overcome the two main drawbacks of the original sphere decoder (SD), namely its variable complexity and sequential structure. As such, the FSD is highly suitable for hardware implementation and has shown remarkable performance through simulations. Herein, we explore the theoretical aspects of the algorithm and prove that the FSD achieves the same diversity order as the maximum likelihood detector (MLD). Further, we show that the coding loss can be made negligible in the high signal to noise ratio (SNR) regime with a significantly lower complexity than that of the MLD.

Place, publisher, year, edition, pages
IEEE , 2007. 49-52 p.
Series
IEEE International Conference on Acoustics, Speech and Signal Processing, ISSN 1520-6149
Keyword [en]
sphere decoder, MIMO, diversity order, signal detection, Decision feedback equalizers, Detectors, Diversity reception, Maximum likelihood decoding, Maximum likelihood detection, Quadrature amplitude modulation, Signal to noise ratio
National Category
Signal Processing Telecommunications
Identifiers
URN: urn:nbn:se:kth:diva-34952DOI: 10.1109/ICASSP.2007.366469ISI: 000248906600013Scopus ID: 2-s2.0-34547540108OAI: oai:DiVA.org:kth-34952DiVA: diva2:427406
Conference
32nd IEEE International Conference on Acoustics, Speech and Signal Processing Honolulu, HI, APR 15-20, 2007
Note
QC 20110628Available from: 2011-06-28 Created: 2011-06-17 Last updated: 2012-01-23Bibliographically approved

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Jaldén, JoakimOttersten, Björn

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Output format
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