• DocumentCode
    717529
  • Title

    A Multi-Bit Pseudo-Random Measurement Matrix Construction Method Based on Discrete Chaotic Sequences in an MWC Under-Sampling System

  • Author

    Xinyu Wang ; Min Jia ; Qing Guo ; Xuemai Gu

  • Author_Institution
    Commun. Res. Center, Harbin Inst. of Technol., Harbin, China
  • fYear
    2015
  • fDate
    11-14 May 2015
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Modulated wideband converter system offers an under- sampling method aiming at the issue that sparse wideband signals require high sampling rates. In this paper, we propose a multi-bit pseudo-random measurement matrices construction method based on discrete chaotic sequences since Bernoulli random measurement matrix currently used in an MWC system is difficult to be implemented by hardware. Simulation results show that an MWC system can still perform sub-Nyquist sampling and achieve exact recovery with overwhelming probability while adopting the proposed pseudo-random sequences as measurement matrices. Thus our method is able to save system resources greatly on condition that the reconstruction performance hardly changes compared with Bernoulli matrix.
  • Keywords
    compressed sensing; probability; random sequences; signal reconstruction; signal sampling; sparse matrices; MWC undersampling system; discrete chaotic sequence; multibit pseudorandom measurement matrix construction method; overwhelming sampling; probability; signal reconstruction; sparse wideband signal sampling; Chaos; Hardware; Logistics; Mathematical model; Matrix converters; Sparse matrices; Wideband;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Vehicular Technology Conference (VTC Spring), 2015 IEEE 81st
  • Conference_Location
    Glasgow
  • Type

    conf

  • DOI
    10.1109/VTCSpring.2015.7145624
  • Filename
    7145624