Abstract This paper extends concepts of signal detection theory to predict the performance of conjunction screening techniques and guiding the selection of keepout and screening thresholds. The most efficient way to identify satellites likely to collide is to employ filters to identify orbiting pairs that should not come close enough over a prescribed time period to be considered hazardous. Such pairings can then be eliminated from further computation to accelerate overall processing time. Approximations inherent in filtering techniques include screening using only unperturbed Newtonian two body astrodynamics and uncertainties in orbit elements. Therefore, every filtering process is vulnerable to including objects that are not threats and excluding some that are threats, Type I and Type II errors. The approach in this paper guides selection of the best operating point for the filters suited to a user׳s tolerance for false alarms and unwarned threats. We demonstrate the approach using three archetypal filters with an initial three-day span, select filter parameters based on performance, and then test those parameters using eight historical snapshots of the space catalog. This work provides a mechanism for selecting filter parameters but the choices depend on the circumstances.

    Highlights Signal detection theory is used to predict the performance of conjunction screening techniques. The approach makes possible selecting keepout distances and heuristic pads concretely. The approach is proved using ground truth and the most commonly used screening filters. The frequency of Type I errors grows after each major debris-generating event. This approach enables balance of computational efficiency and operator risk tolerance.


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    Title :

    On selecting satellite conjunction filter parameters


    Contributors:

    Published in:

    Acta Astronautica ; 99 ; 193-200


    Publication date :

    2014-02-06


    Size :

    8 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English




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