• DocumentCode
    1930329
  • Title

    Efficient FPGA implementation of a High throughput systolic array QR-decomposition algorithm

  • Author

    Abels, Matthias ; Wiegand, Till ; Paul, Steffen

  • Author_Institution
    Inst. of Electrodynamics & Microelectron. (ITEM), Univ. of Bremen, Bremen, Germany
  • fYear
    2011
  • fDate
    6-9 Nov. 2011
  • Firstpage
    904
  • Lastpage
    908
  • Abstract
    Due to the Multiple Input Multiple Output technology, applied in wireless communication, where a transceiver has to deal with multidimensional channels, the QR-decomposition is an often used preprocessing algorithm, especially for the design of iterative tree search detection algorithms. In this paper we introduce an efficient FPGA implementation of a QR-decomposition algorithm, which is designed for a MIMO detector developed in view of the Long Term Evolution (LTE). The proposed architecture is based on a line-by-line systolic array structure and reaches the peak matrix throughput, which is required to achieve the defined LTE peak data rate of a 2 × 2 MIMO constellation using a 20 MHz transmission bandwidth. In this paper we describe the architecture and FPGA implementation of the algorithm in detail and show the performance results of a Xilinx Virtex IV realization.
  • Keywords
    Long Term Evolution; MIMO communication; field programmable gate arrays; iterative methods; systolic arrays; tree searching; FPGA implementation; LTE; Long Term Evolution; MIMO detector; QR-decomposition algorithm; Xilinx Virtex IV; high throughput systolic array; iterative tree search detection algorithms; multidimensional channels; multiple input multiple output technology; wireless communication; Algorithm design and analysis; Arrays; Clocks; MIMO; Registers; Throughput; FPGA Implementation; MIMO; QR-Decomposition; SDFG;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signals, Systems and Computers (ASILOMAR), 2011 Conference Record of the Forty Fifth Asilomar Conference on
  • Conference_Location
    Pacific Grove, CA
  • ISSN
    1058-6393
  • Print_ISBN
    978-1-4673-0321-7
  • Type

    conf

  • DOI
    10.1109/ACSSC.2011.6190140
  • Filename
    6190140