Multi-node multi-object tracking for space situational awareness via random finite sets

BaiShen Wei

    Research output: ThesisDoctoral Thesis

    256 Downloads (Pure)

    Abstract

    The central thesis of this dissertation is that multi-sensor systems based on a random finite set framework can provide
    practical, efficient and reliable approaches to space situational awareness. Space situational awareness which refers to the
    comprehensive knowledge of space objects and the capability to aid in risk assessment can be achieved with the help of
    advanced multi-object tracking approaches. The random finite set framework is adopted in this dissertation for a broad and
    principled study of space object tracking. Multiple node networks are adopted for a better performance than tracking with single
    sensor.
    Original languageEnglish
    QualificationDoctor of Philosophy
    Awarding Institution
    • The University of Western Australia
    Award date24 Jul 2017
    DOIs
    Publication statusUnpublished - 2017

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