• DocumentCode
    27169
  • Title

    A Low-Latency Low-Power QR-Decomposition ASIC Implementation in 0.13 \\mu{\\rm m} CMOS

  • Author

    Shabany, Mahdi ; Patel, Dinesh ; Gulak, P. Glenn

  • Author_Institution
    Electr. Eng. Dept., Sharif Univ. of Technol., Tehran, Iran
  • Volume
    60
  • Issue
    2
  • fYear
    2013
  • fDate
    Feb. 2013
  • Firstpage
    327
  • Lastpage
    340
  • Abstract
    This paper presents a hybrid QR decomposition (QRD) design that reduces the number of computations and increases their execution parallelism by using a unique combination of Multi-dimensional Givens rotations, Householder transformations and conventional 2-D Givens rotations. A semi-pipelined semi-iterative architecture is presented for the QRD core, that uses innovative design ideas to develop 2-D, Householder 3-D and 4-D/2-D configurable CORDIC processors, such that they can perform the maximum possible number of vectoring and rotation operations within the given number of cycles, while minimizing gate count and maximizing the resource utilization. Test results for the 0.3 mm2 QRD chip, fabricated in 0.13 μm 1P8M CMOS technology, demonstrate that the proposed design for 4×4 complex matrices attains the lowest reported processing latency of 40 clock cycles (144 ns) at 278 MHz and dissipates 48.2 mW at 1.3 V supply and 25°C. It outperforms all of the previously published QRD designs by offering the highest QR processing efficiency.
  • Keywords
    CMOS integrated circuits; application specific integrated circuits; digital arithmetic; signal processing; 1P8M CMOS technology; 2-D givens rotations; 4-D/2-D confígurable CORDIC processors; QR processing effíciency; QRD chip; frequency 278 MHz; householder 3-D CORDIC processors; hybrid QR decomposition design; low-latency low-power QR-decomposition ASIC implementation; multidimensional givens rotations; power 48.2 mW; size 0.13 mum; temperature 25 C; time 144 ns; voltage 1.3 V; Approximation algorithms; Complexity theory; Equations; Hardware; MIMO; Matrix decomposition; Vectors; Application specific integrated circuits; MIMO; QRD decomposition; very large scale integration;
  • fLanguage
    English
  • Journal_Title
    Circuits and Systems I: Regular Papers, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1549-8328
  • Type

    jour

  • DOI
    10.1109/TCSI.2012.2215775
  • Filename
    6419866