• Title of article

    Modeling of LEO orbital debris populations for ORDEM2008 Original Research Article

  • Author/Authors

    Y.-L. Xu، نويسنده , , M. Horstman، نويسنده , , P.H. Krisko، نويسنده , , J.-C. Liou، نويسنده , , M. Matney، نويسنده , , E.G. Stansbery، نويسنده , , C.L. Stokely، نويسنده , , D. Whitlock، نويسنده ,

  • Issue Information
    دوهفته نامه با شماره پیاپی سال 2009
  • Pages
    14
  • From page
    769
  • To page
    782
  • Abstract
    The NASA Orbital Debris Engineering Model, ORDEM2000, is in the process of being updated to a new version: ORDEM2008. The data-driven ORDEM covers a spectrum of object size from 10 μm to greater than 1 m, and ranging from LEO (low Earth orbit) to GEO (geosynchronous orbit) altitude regimes. ORDEM2008 centimeter-sized populations are statistically derived from Haystack and HAX (the Haystack Auxiliary) radar data, while micron-sized populations are estimated from shuttle impact records. Each of the model populations consists of a large number of orbits with specified orbital elements, the number of objects on each orbit (with corresponding uncertainty), and the size, type, and material assignment for each object. This paper describes the general methodology and procedure commonly used in the statistical inference of the ORDEM2008 LEO debris populations. Major steps in the population derivations include data analysis, reference-population construction, definition of model parameters in terms of reference populations, linking model parameters with data, seeking best estimates for the model parameters, uncertainty analysis, and assessment of the outcomes. To demonstrate the population-derivation process and to validate the Bayesian statistical model applied in the population derivations throughout, this paper uses illustrative examples for the special cases of large-size (>1 m, >32 cm, and >10 cm) populations that are tracked by SSN (the Space Surveillance Network) and also monitored by Haystack and HAX radars operating in a staring mode.
  • Keywords
    Inverse problem with positive constrains , Modeling , Orbital debris , Environment , Bayesian technique , Radar data analysis
  • Journal title
    Advances in Space Research
  • Serial Year
    2009
  • Journal title
    Advances in Space Research
  • Record number

    1132564