• DocumentCode
    3416322
  • Title

    ASIC implementation of a computationally efficient compressive sensing detection method using least squares optimization in 45 nm CMOS technology

  • Author

    Shaban, Mohamed ; Idriss, Tarek ; Idriss, Haytham ; Bayoumi, Magdy

  • Author_Institution
    Center for Adv. Comput. Studies, Univ. of Louisiana at Lafayette, Lafayette, LA, USA
  • fYear
    2015
  • fDate
    19-24 April 2015
  • Firstpage
    1096
  • Lastpage
    1100
  • Abstract
    This paper presents a high speed architecture of a recently proposed compressive sensing detection method for wideband cognitive radios using least squares. Using least squares instead of the orthogonal matching pursuit for signal recovery reduces the computational complexity where, the index search and matrix inverse stages are avoided. The proposed architecture is fully pipelined where, 14 clock cycles are required to detect 1024-length signal occupying 8 channels from 16 measurements. The design is implemented in 45 nm CMOS operating at 165 MHz. Since, the sensing time for 1024-length signal is roughly 84.8 ns, the proposed design offers high speed signal detection compared with state of art orthogonal matching pursuit architecture.
  • Keywords
    CMOS integrated circuits; application specific integrated circuits; cognitive radio; compressed sensing; computational complexity; least squares approximations; signal detection; ASIC; CMOS; compressive sensing detection; computational complexity; frequency 165 MHz; high speed architecture; high speed signal detection; index search; least squares optimization; matrix inverse stages; orthogonal matching pursuit; signal recovery; size 45 nm; time 84.8 ns; wideband cognitive radios; Clocks; Cognitive radio; Compressed sensing; Computer architecture; Registers; Sensors; Wideband; CMOS technology; Cognitive radio; compressive sensing; least squares; wideband spectrum sensing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing (ICASSP), 2015 IEEE International Conference on
  • Conference_Location
    South Brisbane, QLD
  • Type

    conf

  • DOI
    10.1109/ICASSP.2015.7178139
  • Filename
    7178139