• DocumentCode
    112505
  • Title

    Testing software defined and cognitive radios using software defined synthetic instruments

  • Author

    Carey, David ; Lowdermilk, Robert ; Spinali, Michael

  • Author_Institution
    Electr. Eng., Wilkes Univ. in Wilkes-Barre, PA, USA
  • Volume
    18
  • Issue
    2
  • fYear
    2015
  • fDate
    Apr-15
  • Firstpage
    19
  • Lastpage
    24
  • Abstract
    Software Defined Radios (SDRs) are wireless communication systems in which many of the radios´ important functional elements, including filtering, frequency translation and modulation/demodulation, are implemented in software via Digital Signal Processing (DSP) techniques using embedded processors and Field Programmable Gate Arrays (FPGA) as described by Harris and Lowdermilk in 2010 [1]. SDRs differ from traditional radios that typically employ custom silicon to implement such functions. SDRs exhibit several advantages over traditional radios, including re-configurability and reduced development costs and time-to-market since they do not require custom silicon. SDRs also enjoy long life cycles, since they can readily be adapted to meet future needs. Cognitive Radios (CRs) are a special class of SDRs that employ adaptive DSP technologies to implement spectral management. This enables CRs to deliver improved effective bandwidth, quality of service, and enhanced security, which have become increasingly important in modern commercial and military wireless communications applications.
  • Keywords
    cognitive radio; field programmable gate arrays; quality of service; signal processing; software radio; telecommunication security; CR; FPGA; SDR; adaptive DSP technology; cognitive radio; development cost reduction; digital signal processing technique; embedded processors; field programmable gate array; frequency translation; military wireless communications application; modern commercial communication application; quality of service; security enhancement; software defined radio; software defined synthetic instrument; spectral management; Communication systems; Computer architecture; Digital signal processing; Radio frequency; Receivers; Software radio; Wireless communication;
  • fLanguage
    English
  • Journal_Title
    Instrumentation & Measurement Magazine, IEEE
  • Publisher
    ieee
  • ISSN
    1094-6969
  • Type

    jour

  • DOI
    10.1109/MIM.2015.7066678
  • Filename
    7066678