• DocumentCode
    612644
  • Title

    Air-ground channel measurements & modeling for UAS

  • Author

    Matolak, David W. ; Ruoyu Sun

  • Author_Institution
    Dept. of Electr. Eng., Univ. of South Carolina, Columbia, SC, USA
  • fYear
    2013
  • fDate
    22-25 April 2013
  • Firstpage
    1
  • Lastpage
    9
  • Abstract
    Unmanned aircraft systems (UAS) are expected to be used in greatly increasing numbers in the near future. To safely integrate them into the national airspace system (NAS) requires reliable communication links. Since operating conditions and signaling rates of UAS will not always be identical to conventional civil piloted aircraft, the air-ground channel can become a challenging obstacle to reliable communications. Thus, along with NASA´s Glenn Research Center we are conducting a measurement and modeling campaign to quantitatively characterize the air-ground channel. This paper describes our motivation, test system, measurement and modeling approach, and some initial results. Use of the developed models within larger network-scale investigations are planned, hence these results are a first step in the UAS integration into the NAS. Future results should be of use for any communication link performance analyses for UAS.
  • Keywords
    aircraft communication; autonomous aerial vehicles; telecommunication links; telecommunication network planning; telecommunication network reliability; telecommunication signalling; NASA Glenn Research Center; UAS integration; air-ground channel measurements; air-ground channel modeling; communication link performance analyses; conventional civil piloted aircraft; national airspace system; network-scale investigations; operating conditions; reliable communication links; reliable communications; signaling rates; unmanned aircraft systems; Aerospace electronics; Aircraft; Atmospheric modeling; Computational modeling; Delays; Reflection; Reliability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Integrated Communications, Navigation and Surveillance Conference (ICNS), 2013
  • Conference_Location
    Herndon, VA
  • ISSN
    2155-4943
  • Print_ISBN
    978-1-4673-6251-1
  • Type

    conf

  • DOI
    10.1109/ICNSurv.2013.6548539
  • Filename
    6548539