• DocumentCode
    1168344
  • Title

    Deep space Ka-band link management and Mars Reconnaissance Orbiter: long-term weather statistics versus forecasting

  • Author

    Davarian, Faramaz ; Shambayati, Shervin ; Slobin, Stephen

  • Author_Institution
    Jet Propulsion Lab., California Inst. of Technol., Pasadena, CA, USA
  • Volume
    92
  • Issue
    12
  • fYear
    2004
  • fDate
    12/1/2004 12:00:00 AM
  • Firstpage
    1879
  • Lastpage
    1894
  • Abstract
    During the last 40 years, deep space radio communication systems have experienced a move toward shorter wavelengths. In the 1960s, a transition from L- to S-band occurred, which was followed by a transition from S- to X-band in the 1970s. Both these transitions provided deep space links with wider bandwidths and improved radio metrics capability. Now, in the 2000s, a new change is taking place: namely, a move to the Ka-band region of the radio frequency spectrum. Ka-band will soon replace X-band as the frequency of choice for deep space communications, providing ample spectrum for the high data rate requirements of future missions. The low-noise receivers of deep space networks have a great need for link management techniques that can mitigate weather effects. In this paper, three approaches for managing Ka-band Earth-space links are investigated. The first approach uses aggregate annual statistics, the second one uses monthly statistics, and the third is based on the short-term forecasting of the local weather. An example of weather forecasting for Ka-band link performance prediction is presented. Furthermore, spacecraft commanding schemes suitable for Ka-band link management are investigated. Theses schemes will be demonstrated using NASA´s Mars Reconnaissance Orbiter spacecraft in the 2007-2008 period, and the demonstration findings will be reported in a future publication.
  • Keywords
    Mars; atmospherics; space communication links; statistics; telecommunication network management; weather forecasting; Ka-band link performance prediction; MRO commanding subsystem; Mars Reconnaissance Orbiter; NASA; atmospheric noise temperature forecasting; deep space Ka-band link management; deep space radio communication systems; long term weather statistics; satellite communication; spacecraft; weather forecasting; Bandwidth; Extraterrestrial measurements; Mars; Radio communication; Radio frequency; Reconnaissance; Space missions; Space vehicles; Statistics; Weather forecasting; Atmospheric noise temperature forecasting; Ka-band link design; deep space link management; satellite communications; weather effects on radio signals;
  • fLanguage
    English
  • Journal_Title
    Proceedings of the IEEE
  • Publisher
    ieee
  • ISSN
    0018-9219
  • Type

    jour

  • DOI
    10.1109/JPROC.2004.837613
  • Filename
    1360162