• DocumentCode
    3168411
  • Title

    Design and implementation of a fully integrated compressed-sensing signal acquisition system

  • Author

    Yoo, Juhwan ; Becker, Stephen ; Monge, Manuel ; Loh, Matthew ; Candès, Emmanuel ; Emami-Neyestanak, Azita

  • Author_Institution
    Dept. of Electr. Eng., California Inst. of Technol., Pasadena, CA, USA
  • fYear
    2012
  • fDate
    25-30 March 2012
  • Firstpage
    5325
  • Lastpage
    5328
  • Abstract
    Compressed sensing (CS) is a topic of tremendous interest because it provides theoretical guarantees and computationally tractable algorithms to fully recover signals sampled at a rate close to its information content. This paper presents the design of the first physically realized fully-integrated CS based Analog-to-Information (A2I) pre-processor known as the Random-Modulation Pre-Integrator (RMPI) [1]. The RMPI achieves 2GHz bandwidth while digitizing samples at a rate 12.5× lower than the Nyquist rate. The success of this implementation is due to a coherent theory/algorithm/hardware co-design approach. This paper addresses key aspects of the design, presents simulation and hardware measurements, and discusses limiting factors in performance.
  • Keywords
    CMOS integrated circuits; compressed sensing; digital signal processing chips; program processors; signal detection; signal sampling; A2I preprocessor; Nyquist rate; RMPI; bandwidth 2 GHz; coherent theory; computationally tractable algorithms; fully integrated compressed-sensing signal acquisition system; fully recover signals sampling; fully-integrated CS-based analog-to-information pre-processor; hardware codesign approach; hardware measurements; information content; random-modulation preintegrator; Bandwidth; CMOS integrated circuits; Compressed sensing; Frequency estimation; Hardware; Harmonic analysis; Noise; Analog-to-Information; CMOS; Compressed-Sensing; Pre-Integration; Random Modulation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing (ICASSP), 2012 IEEE International Conference on
  • Conference_Location
    Kyoto
  • ISSN
    1520-6149
  • Print_ISBN
    978-1-4673-0045-2
  • Electronic_ISBN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.2012.6289123
  • Filename
    6289123