• DocumentCode
    1366902
  • Title

    Block Diagonal GMD for Zero-Padded MIMO Frequency Selective Channels

  • Author

    Weng, Ching-Chih ; Vaidyanathan, P.P.

  • Author_Institution
    California Inst. of Technol., Pasadena, CA, USA
  • Volume
    59
  • Issue
    2
  • fYear
    2011
  • Firstpage
    713
  • Lastpage
    727
  • Abstract
    In the class of systems with linear precoder and decision feedback equalizers (DFE) for zero-padded (ZP) multiple-input multiple-output (MIMO) frequency selective channels, existing optimal transceiver designs present two drawbacks. First, the optimal systems require a large number of feedback bits from the receiver to encode the full precoding matrix. Second, the full precoding matrix leads to complex computations. These disadvantages become more severe as the bandwidth (BW) efficiency increases. In this paper, we propose using block diagonal geometric mean decomposition (BD-GMD) to design the transceiver. Two new BD-GMD transceivers are proposed: the ZF-BD-GMD system, where the receiver is a zero-forcing DFE (ZF-DFE), and the MMSE-BD-GMD system, where the receiver is a minimum- mean-square-error DFE (MMSE-DFE). The BD-GMD systems introduced here have the following four properties: a) They use the block diagonal unitary precoding technique to reduce the required number of encoding bits and simplify the computation. b) For any block size, the BD-GMD systems are optimal within the family of systems using block diagonal unitary precoders and DFEs. As block size gets larger, the BD-GMD systems produce uncoded bit error rate (BER) performance similar to the optimal systems using unitary precoders and DFEs. c) For the two ZF transceivers (ZF-Optimal and ZF-BD-GMD) and the two MMSE transceivers (MMSE-Optimal and MMSE-BD-GMD), the average BER degrades as the BW efficiency increases. d) In the case of single-input single-output (SISO) channels, the BD-GMD systems have the same performance as those of the lazy precoder transceivers. These properties make the proposed BD-GMD systems more favorable designs in practical implementation than the optimal systems.
  • Keywords
    MIMO communication; channel coding; channel estimation; decision feedback equalisers; error statistics; least mean squares methods; linear codes; matrix algebra; precoding; radio transceivers; wireless channels; BER; MMSE-DFE; SISO channel; ZF-BD-GMD transceiver; ZP multiple-input multiple-output frequency selective channel; bandwidth efficiency; bit error rate; block diagonal GMD; block diagonal geometric mean decomposition; block diagonal unitary precoder; decision feedback equalizer; full precoding matrix; linear precoder; minimum mean square error DFE; optimal transceiver design; single-input single-output channel; zero-padded MIMO frequency selective channel; Bandwidth; Bit error rate; Decision feedback equalizers; MIMO; Noise; Receivers; Transceivers; Block diagonal matrix; Szego´s theorem; block Toeplitz matrix; decision feed back; geometric mean decomposition;
  • fLanguage
    English
  • Journal_Title
    Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1053-587X
  • Type

    jour

  • DOI
    10.1109/TSP.2010.2090522
  • Filename
    5617291