A new generation star tracker
CROSS is a star tracker project led by the School of Aerospace, Mechanical, and Mechatronic Engineering in the Faculty of Engineering at the University of Sydney, in collaboration with the Australian Research Council Training Centre for CubeSats, UAVs & Their Applications (CUAVA). The project is led by Joshua Critchley-Marrows, under the supervision of Dr. Xiaofeng Wu, and Professor Iver Cairns, director of CUAVA. CROSS is an Australian-made and Australian-owned space system capability, built to serve the emerging Australian space sector. We would be pleased to receive interest from both Australian and International industry - please get in touch by the email address below.
CROSS is a high-precision attitude determination device used in satellite pointing systems. Attitude determination is achieved by comparison of the known positions of stars to an image’s calculated positions.
This system will provide high-precision attitude determination to pico- and micro-satellites, such as the CubeSat and up to the 50 kg classes. The majority of star trackers available today are designed for large satellites and hence have significantly larger mass, volume, and cost.
The project will develop a competitive and accessible star tracker platform to grow Australia’s space capability through Sydney University researchers and students.
Designed to allow sensors to be assigned mission-specific positions.
Novel algorithms for increased accuracy and performance as well as robustness in multiple scenarios.
Designed to be compatible for use within the CubeSat template.
Application of wide field of view to allow for lower cost optics without decreasing performance.
Prioritising easy access for small businesses and research institutions.
School of Aerospace, Mechanical and Mechatronic Engineering
University of Sydney
Please email us if you are interested in finding out more about the project or collaborating.
The ARC Industrial Transformation Training Centre for CubeSats, UAVs, and Their Applications (CUAVA) received Australian Government funding through the Australian Research Council Industrial Transformation Research Program.