• DocumentCode
    1938996
  • Title

    Statistical risk estimation for communication system design: Development of optimization frameworks

  • Author

    Babuscia, Alessandra ; Kar-Ming Cheung ; Miller, David W.

  • Author_Institution
    Massachusetts Inst. of Technol., Cambridge, MA, USA
  • fYear
    2013
  • fDate
    2-9 March 2013
  • Firstpage
    1
  • Lastpage
    17
  • Abstract
    The design of a spacecraft is an evolutionary process that starts from requirements and evolves over time across different design phases. During this process, a lot of changes can happen. They can affect mass and power at component level, at subsystem level, and even at system level. Each spacecraft has to meet overall constraints in terms of mass and power: for this reason, it´s important to be sure that the design does not exceed these limitations. Current practice in system modeling deals with this problem by allocating margins on single components and on each of the subsystems. However, a statistical characterization of these fluctuations in mass and power is missing, and the consequence is a design that either is too risky and does not fit the mission constraints, or is too conservative and generates an inefficient utilization of resources.
  • Keywords
    aircraft communication; evolutionary computation; fluctuations; optimisation; space vehicles; statistical analysis; communication system design; component level; evolutionary process; mass fluctuations; optimization frameworks; power fluctuations; resource utilization; spacecraft design; statistical characterization; statistical risk estimation; subsystem level; Estimation; Interviews; Kernel; Optimization; Power demand; Satellites; Space vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Aerospace Conference, 2013 IEEE
  • Conference_Location
    Big Sky, MT
  • ISSN
    1095-323X
  • Print_ISBN
    978-1-4673-1812-9
  • Type

    conf

  • DOI
    10.1109/AERO.2013.6497327
  • Filename
    6497327