Discovery Early Career Researcher Award - Grant ID: DE120101266
Funder
Australian Research Council
Funding Amount
$375,000.00
Summary
Low-complexity factor-graph-based receiver design for bandwidth-efficient communication systems over doubly selective channels. This project aims to solve challenging problems in future wireless communications using graph-based signal processing techniques. It will provide practical solutions for future broadband mobile communications to the bush and high-speed underwater acoustic communications in the oceans that are particularly important to Australia.
Blind separation of mutually correlated sources. This project is aimed at developing novel techniques for blind separation of mutually correlated sources. The expected outcomes will significantly advance the theory of blind source separation and improve the performance of important practical systems, such as densely deployed sensor networks and wireless video surveillance systems.
Multi-Modal Dictionary Learning for Smart City Operation and Management. This Project aims to provide new digital asset management tools for city councils to improve city services by utilising new sensing and automated learning technologies for recognising, tracking and auditing of assets. Currently, there are no digital tools available to handle these services. This project proposes new multi-modal sensing and mapping of city asset techniques by building new multi-modal dictionary learning proc ....Multi-Modal Dictionary Learning for Smart City Operation and Management. This Project aims to provide new digital asset management tools for city councils to improve city services by utilising new sensing and automated learning technologies for recognising, tracking and auditing of assets. Currently, there are no digital tools available to handle these services. This project proposes new multi-modal sensing and mapping of city asset techniques by building new multi-modal dictionary learning procedures. The new framework will recognise different conditions of city assets in real-time to make decisions. Expected outcomes of this Project include integration and easy access of assets with unique digital identities to help city councils, governments, and navigation services for real-time asset monitoring.Read moreRead less
Signal Processing for Reconfigurable Antennas – a Multidisciplinary Approach for Next Generation Wireless Communications. To satisfy the enormous demand for wireless applications with scarce radio spectrum, new technologies must be researched, developed, and then employed. Reconfigurable antennas, through morphing their physical structures with various switches, can adapt to the radio propagation environment, thereby increasing spectrum efficiency and power efficiency of wireless communications. ....Signal Processing for Reconfigurable Antennas – a Multidisciplinary Approach for Next Generation Wireless Communications. To satisfy the enormous demand for wireless applications with scarce radio spectrum, new technologies must be researched, developed, and then employed. Reconfigurable antennas, through morphing their physical structures with various switches, can adapt to the radio propagation environment, thereby increasing spectrum efficiency and power efficiency of wireless communications. This project aims to design signal processing algorithms for achieving all the benefits that reconfigurable antennas can provide for wireless communications. An important outcome of this research is sound channel models validated by extensive field measurement data.Read moreRead less