• DocumentCode
    3016319
  • Title

    Reduced order models for smoothing errors

  • Author

    Rains, R.G.

  • Author_Institution
    The Analytic Sciences Corporation, Reading, Massachusetts
  • fYear
    1976
  • fDate
    1-3 Dec. 1976
  • Firstpage
    1303
  • Lastpage
    1304
  • Abstract
    This paper describes a technique for modeling the time correlations of the smoothing error process, i.e., the stochastic process consisting of a linear system driven by gaussian noise. The reduced order model is developed via shaping filter design. This technique can be used to separate a large-scale linear smoothing problem into stages, each of which consists of a subsystem smoothing problem.
  • Keywords
    Algorithm design and analysis; Autocorrelation; Covariance matrix; Extraterrestrial measurements; Filters; Reduced order systems; Satellites; Smoothing methods; Stochastic processes; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control including the 15th Symposium on Adaptive Processes, 1976 IEEE Conference on
  • Conference_Location
    Clearwater, FL, USA
  • Type

    conf

  • DOI
    10.1109/CDC.1976.267688
  • Filename
    4045796
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3016319