• DocumentCode
    158494
  • Title

    Impact of the sampling theorem interpretations on digitization and reconstruction in SDRs and CRs

  • Author

    Poberezhskiy, Y.S. ; Poberezhskiy, G.Y.

  • fYear
    2014
  • fDate
    1-8 March 2014
  • Firstpage
    1
  • Lastpage
    20
  • Abstract
    Sampling and reconstruction (S&R) are used in virtually all areas of science and technology. The classical sampling theorem is a theoretical foundation of S&R. However, for a long time, only sampling rates and ways of the sampled signals representation were derived from it. The fact that the design of S&R circuits (SCs and RCs) is based on a certain interpretation of the sampling theorem was mostly forgotten. The traditional interpretation of this theorem was selected at the time of the theorem introduction because it offered the only feasible way of S&R realization then. At that time, its drawbacks did not manifest themselves. By now, this interpretation has largely exhausted its potential and inhibits future progress in the field. This tutorial expands the theoretical foundation of S&R. It shows that the traditional interpretation, which is indirect, can be replaced by the direct one or by various combinations of the direct and indirect interpretations that enable development of novel SCs and RCs (NSCs and NRCs) with advanced properties. The tutorial explains the basic principles of the NSCs and NRCs design, their advantages, as well as theoretical problems and practical challenges of their realization. The influence of the NSCs and NRCs on the architectures of SDRs and CRs is also discussed.
  • Keywords
    analogue-digital conversion; cognitive radio; signal reconstruction; signal representation; signal sampling; software radio; CR; NRC design; NSC design; S&R circuits; SDR; cognitive radio; sampled signal representation; sampling and reconstruction; sampling rates; sampling theorem interpretation; software defined radio; Band-pass filters; Bandwidth; Barium; Baseband; Digital signal processing; Equations; Interference;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Aerospace Conference, 2014 IEEE
  • Conference_Location
    Big Sky, MT
  • Print_ISBN
    978-1-4799-5582-4
  • Type

    conf

  • DOI
    10.1109/AERO.2014.6836423
  • Filename
    6836423