Convex optimisation for control, signal processing and communication systems. Renewable control of complex systems, signal processing, telecommunication and in general any industries interested in these applications stand to benefit from our research. In particular, the automotive and defence industries stand to benefit from the nonlinear control design aspect of the proposed project outcomes. The
telecommunications industries, on the other hand, benefit from the signal processing and communicat ....Convex optimisation for control, signal processing and communication systems. Renewable control of complex systems, signal processing, telecommunication and in general any industries interested in these applications stand to benefit from our research. In particular, the automotive and defence industries stand to benefit from the nonlinear control design aspect of the proposed project outcomes. The
telecommunications industries, on the other hand, benefit from the signal processing and communications aspects. We also build a core expertise in optimisation and its applications in Australia by training PhD students and Postdoctoral researchers. The research collaborations will cement and maintain the international linkages which will improve applied research in AustraliaRead moreRead less
Modelling and estimation methods for discrete multi-dimensional systems. Multi-dimensional signal processing plays a role in a variety of application areas, ranging from remote sensing for environmental monitoring and geological mapping, to medical imaging and the automatic control of industrial processes. The success of the project will provide mathematical tools for the advancement of the state-of-the-art in these broad areas.
International collaboration in gravitational wave data analysis, simulations and third generation detectors. The project brings together seven outstanding international researchers into close collaboration with an Australian team to develop new techniques for finding gravitational wave signals in the vast archive of data they have helped to collect, as well as developing and testing theory for improved detectors that operate with sensitivity beyond the limits set by classical physics. The projec ....International collaboration in gravitational wave data analysis, simulations and third generation detectors. The project brings together seven outstanding international researchers into close collaboration with an Australian team to develop new techniques for finding gravitational wave signals in the vast archive of data they have helped to collect, as well as developing and testing theory for improved detectors that operate with sensitivity beyond the limits set by classical physics. The project will utilize a state of the art supercomputer and the superb national facility for high power laser interferometry at Gingin, Western Australia. Read moreRead less
Optimisation of base station beamforming for wireless broadband internet services in rural areas. The NBN aims to deliver 100 Mbps to Australians in major cities but much lower speeds to rural areas. A key outcome of the project is a sound foundation for the design of antenna arrays and beamformers to enable cost effective and efficient wireless internet services for rural areas and meet a challenge of national importance.
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.
Real-Time Searches for Gravitational Waves and Identification of Their Radio and Optical Counterparts. The proposed project will directly address the national research priority in development of frontier technologies, directly involve Australians in frontier work in gravitational wave astronomy that will result in break-through sciences and improve the chance of the international Square-Kilometer-Array project being sited at Australia. In addition, it will foster a close collaboration of top int ....Real-Time Searches for Gravitational Waves and Identification of Their Radio and Optical Counterparts. The proposed project will directly address the national research priority in development of frontier technologies, directly involve Australians in frontier work in gravitational wave astronomy that will result in break-through sciences and improve the chance of the international Square-Kilometer-Array project being sited at Australia. In addition, it will foster a close collaboration of top international researchers with an Australian team. The research at The University of Western Australia will attract students from around the world and serve to educate and inspire young people in Australia.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE120102388
Funder
Australian Research Council
Funding Amount
$375,000.00
Summary
From Bayesian filtering to smoothing and prediction for multiple object systems. This project will develop new and improved algorithms for tracking multiple targets, such as tanks, submarines or planes, using the state of the art in mathematical and computational design. These will enable more efficient and accurate technologies for defence related applications including intelligence, surveillance and reconnaissance.
Analysis of Polynomial Phase Signals with Missing Observations. Many non-stationary signals in radar, physics and communications can be modelled as polynomial phase signals. These signals are often incomplete due to missing observations from intermittent sensor failures, outliers, receiver errors, periodic interference and inaccessibility of data. The aim of this project is to develop robust and computationally efficient methods for recovering such signals from small data sets when there is a la ....Analysis of Polynomial Phase Signals with Missing Observations. Many non-stationary signals in radar, physics and communications can be modelled as polynomial phase signals. These signals are often incomplete due to missing observations from intermittent sensor failures, outliers, receiver errors, periodic interference and inaccessibility of data. The aim of this project is to develop robust and computationally efficient methods for recovering such signals from small data sets when there is a large proportion of missing observations. This will contribute to a conceptual advancement in the field of signal processing and will provide new methods for use in applications such as radar, astrophysics, seismology, vibration analysis and communications.Read moreRead less
Parameter estimation for multi-object systems. Parameter estimation in multi-object system is essential to the application of multi-object filtering to a wider range of practical problems with social and commercial benefits. This project develops the necessary parameter estimation techniques for complete 'plug-and-play' multi-object filtering solutions that facilitates widespread applications.
A stochastic geometric framework for Bayesian sensor array processing. This project develops a mathematical framework, and a new generation of techniques, for sensor array processing to address real-world problems with uncertainty in array parameters and number of signals. The outcomes will enhance the capability of sensors in many application areas including, radar, sonar, astronomy and wireless communications.