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
Link To Document :
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