Polynomial matrix QR decomposition for the decoding of frequency selective multiple-input multiple-output communication channels

J. Foster; J. McWhirter; S. Lambotharan; I. Proudler; M. Davies; J. Chambers

Polynomial matrix QR decomposition for the decoding of frequency selective multiple-input multiple-output communication channels

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Polynomial matrix QR decomposition for the decoding of frequency selective multiple-input multiple-output communication channels

Author(s): J. Foster ; J. McWhirter ; S. Lambotharan ; I. Proudler ; M. Davies ; J. Chambers
DOI: 10.1049/iet-spr.2011.0086

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Author(s): J. Foster ¹ ; J. McWhirter ² ; S. Lambotharan ¹ ; I. Proudler ³ ; M. Davies ¹ ; J. Chambers ¹
- Affiliations: 1: The Advanced Signal Processing Group, Department of Electronic and Electrical Engineering, Loughborough University, UK
  2: The Centre of Digital Signal Processing, School of Engineering, Cardiff University, UK
  3: The Centre of Digital Signal Processing, School of Engineering, QinetiQ Ltd., Malvern, UK
Source: Volume 6, Issue 7, September 2012, p. 704 – 712
DOI: 10.1049/iet-spr.2011.0086 , Print ISSN 1751-9675, Online ISSN 1751-9683

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This study proposes a new technique for communicating over multiple-input multiple-output (MIMO) frequency selective channels. This approach operates by calculating the QR decomposition of the polynomial channel matrix at the receiver on the basis of channel state information, which in this work is assumed to be perfectly known. This then enables the frequency selective MIMO system to be transformed into a set of frequency selective single-input single-output systems without altering the statistical properties of the receiver noise, which can then be individually equalised. A like-for-like comparison with the orthogonal frequency division multiplexing scheme, which is typically used to communicate over channels of this form, is provided. The polynomial matrix system is shown to achieve improved performance in terms of average bit error rate results, as a consequence of time-domain symbol decoding.

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Polynomial matrix QR decomposition for the decoding of frequency selective multiple-input multiple-output communication channels

Polynomial matrix QR decomposition for the decoding of frequency selective multiple-input multiple-output communication channels

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