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

BaiShen Wei

doi:10.4225/23/59892947fc8d9

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

BaiShen Wei

Research output: Thesis › Doctoral Thesis

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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 language	English
Qualification	Doctor of Philosophy
Awarding Institution	The University of Western Australia
Award date	24 Jul 2017
DOIs	https://doi.org/10.4225/23/59892947fc8d9
Publication status	Unpublished - 2017

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THESIS - DOCTOR OF PHILOSOPHY - WEI BaiShen - 2017
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AB - The central thesis of this dissertation is that multi-sensor systems based on a random finite set framework can providepractical, efficient and reliable approaches to space situational awareness. Space situational awareness which refers to thecomprehensive knowledge of space objects and the capability to aid in risk assessment can be achieved with the help ofadvanced multi-object tracking approaches. The random finite set framework is adopted in this dissertation for a broad andprincipled study of space object tracking. Multiple node networks are adopted for a better performance than tracking with singlesensor.

KW - space situational awareness

KW - random finite sets

KW - Space debris

KW - Tracking

KW - multi-node system

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M3 - Doctoral Thesis

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

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