• DocumentCode
    2624578
  • Title

    Impulse response UWB time-delay estimation with low speed ADC using compressive sensing

  • Author

    Yang, Gang ; Zhang, Lingwen

  • Author_Institution
    Sch. of Inf. Eng., Commun. Univ. of China, Beijing, China
  • fYear
    2012
  • fDate
    15-17 Oct. 2012
  • Firstpage
    412
  • Lastpage
    417
  • Abstract
    Time-delay estimation of ultra-wide-band (UWB) signals arises in many applications in which a multipath medium has to be identified from pulses transmitted through the channel. Previous methods for time delay recovery either operate on the analog received signal, or require sampling at the Nyquist rate of the transmitted pulse. In this paper, we propose a system with low speed ADC and formulate time delay estimation as a compressive sensing problem. The framework we develop here leads to recovery of the multipath delays from samples of the channel output at the lowest possible rate. The sampling rate depends only on the number of multipath components and the transmission rate, but not on the bandwidth of the probing signal.
  • Keywords
    analogue-digital conversion; compressed sensing; delay estimation; multipath channels; signal sampling; transient response; ultra wideband communication; wireless channels; Impulse response UWB time-delay estimation; Nyquist rate sampling; analog received signal; channel output sampling; compressive sensing problem; low speed ADC; multipath delay recovery; probing signal bandwidth; pulse transmission; time delay recovery; ultrawide-band signal; Bandwidth; Delay; Delay effects; Estimation; Multiple signal classification; Signal to noise ratio; Vectors; UWB; localization; time delay estimation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications (APCC), 2012 18th Asia-Pacific Conference on
  • Conference_Location
    Jeju Island
  • Print_ISBN
    978-1-4673-4726-6
  • Electronic_ISBN
    978-1-4673-4727-3
  • Type

    conf

  • DOI
    10.1109/APCC.2012.6388171
  • Filename
    6388171