• DocumentCode
    2045301
  • Title

    A Wide-Band A/D Converter for the Software-Defined Radio System

  • Author

    Asemani, Davud ; Oksman, Jacques

  • Author_Institution
    Dept. of Signal Process. & Electron. Syst., Supelec, Gif-sur-Yvette, France
  • fYear
    2007
  • fDate
    24-27 Nov. 2007
  • Firstpage
    947
  • Lastpage
    950
  • Abstract
    The HFB structure is a suitable candidate to realize a wide-band A/D convertor for the software-defined radio (SDR) systems. Two MIMO time-division multiplexing (TDM) and subband HFB architectures are compared with the classical one in this paper. Simulating in the timedomain, the MIMO HFBs exhibit a better performance than the classical one in terms of output resolution as well as the sensitivity to the realization errors of analysis filter bank. In opposite to the classical HFB case, the MIMO HFBs provide an LTI input-output relation. It is shown that the blind estimation and noise cancelation techniques may be used in the MIMO case for correcting the realization errors. The MIMO and classical HFBs are compared in terms of computational complexity as well.
  • Keywords
    MIMO communication; analogue-digital conversion; computational complexity; interference suppression; software radio; time division multiplexing; HFB architectures; MIMO time-division multiplexing; blind estimation techniques; computational complexity; hybrid filter bank; noise cancelation techniques; software-defined radio system; wide-band A-D converter; Analytical models; Converters; Error analysis; Error correction; Filter bank; MIMO; Noise cancellation; Performance analysis; Time division multiplexing; Wideband; A/D converter; Software-defined radio;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing and Communications, 2007. ICSPC 2007. IEEE International Conference on
  • Conference_Location
    Dubai
  • Print_ISBN
    978-1-4244-1235-8
  • Electronic_ISBN
    978-1-4244-1236-5
  • Type

    conf

  • DOI
    10.1109/ICSPC.2007.4728477
  • Filename
    4728477