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High-resolution Imaging of Near-Earth Objects and Space Debris: Real-Time Atmospheric Tomographic Signal Processing


Department of Electrical & Computer Engineering

, Applications accepted all year round Funded PhD Project (Students Worldwide)

About the Project

Our current research requires the development of a space situational awareness system for classifying Earth-orbiting artificial satellites. We are building an adaptive optics system for use with either a 60 cm or 100 cm optical telescopes at a premium observatory in New Zealand. Our group have developed wavefront sensor technology and use specialised instrumentation to predict the distortion function caused by atmospheric turbulence. With this configuration, and by combining both closed-loop control and open-loop post-processing, we believe significant image restoration of satellite and large space debris objects is possible for classification. The project employs advanced signal processing methods and novel computational techniques to simplify complex algorithms and to achieve real-time performance. This project is in collaboration with other adaptive optics and computational imaging groups, such as University of New South Wales in Canberra and institutions in Europe, however the majority of work will be completed at the University of Canterbury in Christchurch New Zealand.

The project is suitable for students with a background in the following Disciplines:

Computer Science, Information Technology, Information Sciences: High Performance Computing (HPC)
Engineering and Technology: Bioengineering; Design; Instrumentation & Control; Modelling; Optical & Laser Engineering; Signal and Image Processing; Simulation, Control and Computer Modelling
Physics: Astronomy; Atmospheric Physics
Science & Technology: Science & Technology

You can find more information here: http://www.canterbury.ac.nz/spark/Group.aspx?groupid=45

Funding Notes

A 3-year Ph.D. Scholarship (stipend + tuition fees) is available in the Computational Design & Adaptation (CDA) research Group in the Department of Electrical and Computer Engineering at the University of Canterbury in New Zealand.

References

Weddell, S.J., Clare, R., and Lambert, A. (2019). "Near Earth Object Image Restoration with Multi-Object Adaptive Optics", Proc. 1st NEO and Debris Detection Conference, Darmstadt, Germany, 22-24 January 2019, published by the ESA Space Safety Programme Office
Ed. T. Flohrer, R. Jehn, F. Schmitz (http://neo-sst-conference.sdo.esoc.esa.int, January 2019)

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