• Title of article

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

  • Author/Authors

    S.، Shambayati, نويسنده , , F.، Davarian, نويسنده , , S.، Slobin, نويسنده ,

  • Issue Information
    روزنامه با شماره پیاپی سال 2004
  • Pages
    -1878
  • From page
    1879
  • To page
    0
  • 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 NASAʹs Mars Reconnaissance Orbiter spacecraft in the 2007-2008 period, and the demonstration findings will be reported in a future publication.
  • Keywords
    superconducting magnets , superconducting power systems , superconductors , Applications , superconducting devices , cryocoolers , Cooling , cryogenics
  • Journal title
    Proceedings of the IEEE
  • Serial Year
    2004
  • Journal title
    Proceedings of the IEEE
  • Record number

    99630