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.
A Novel Inline High-Efficiency Motor/Pump System. Around 19% of the world’s and 30% of the Australia’s electric energy is consumed by pump technologies. Significant energy savings are possible if the major components of pump systems, including inverter, motor and pump, operate at their maximum possible efficiency under varying loads. A novel pump design in this project accommodates integrated electronics in a submersible housing. A seal-less design helps mitigate several aspects of pump failure ....A Novel Inline High-Efficiency Motor/Pump System. Around 19% of the world’s and 30% of the Australia’s electric energy is consumed by pump technologies. Significant energy savings are possible if the major components of pump systems, including inverter, motor and pump, operate at their maximum possible efficiency under varying loads. A novel pump design in this project accommodates integrated electronics in a submersible housing. A seal-less design helps mitigate several aspects of pump failure and its in-line structure reduces assembly cost. Accurately measured efficiency maps will be utilised to demonstrate the non-linear relationship between motor and pump quantities as well as developing models for indirectly estimating feedback quantities and achieving the highest system efficiency.Read moreRead less
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.
Signal separation and tracking for augmented hearables and wearables. This project aims to develop augmentation technology in hearables, via solutions for source separation and tracking. Hearing is one of the five human senses. Augmented hearables or wearable devices with augmented hearing would extend and enhance hearing. New hearables could enable clear and natural hearing aids, suppress a partner’s snores, alert the wearer to the sounds of pending danger, and even perform automatic in-ear lan ....Signal separation and tracking for augmented hearables and wearables. This project aims to develop augmentation technology in hearables, via solutions for source separation and tracking. Hearing is one of the five human senses. Augmented hearables or wearable devices with augmented hearing would extend and enhance hearing. New hearables could enable clear and natural hearing aids, suppress a partner’s snores, alert the wearer to the sounds of pending danger, and even perform automatic in-ear language translation.Read moreRead less
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
Improved design of hearing protection devices with binaural voice pick-up and hearing loss compensation. Hearing protection is essential to industries operating under extreme noise conditions. However, conventional hearing protection devices such
as earplugs and earmuffs inhibit face-to-face communications. Sensear
has developed and marketed a world-first product that, apart from overcoming the aforesaid limitation, also gives the wearer a perception of his surrounding sound field. This projec ....Improved design of hearing protection devices with binaural voice pick-up and hearing loss compensation. Hearing protection is essential to industries operating under extreme noise conditions. However, conventional hearing protection devices such
as earplugs and earmuffs inhibit face-to-face communications. Sensear
has developed and marketed a world-first product that, apart from overcoming the aforesaid limitation, also gives the wearer a perception of his surrounding sound field. This project seeks to extend Sensear's products to include compensation for people with hearing loss. This will give Sensear a competitive edge in hearing protection products, and enhance Australia's reputation in assistive hearing technology. The project also presents a number of opportunities to provide
industry-focussed research training to PhD students.Read moreRead less
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.
Collision Avoidance in Shipping Lanes via Intelligent Sensor Data Fusion . This project aims to develop an online maritime traffic monitoring system for reliable collision/contact avoidance that exploits complementary data from high-resolution airborne sensors and surface vessel sensors. Our approach is based on optimal scheduling and fusion of the sensor data and possibly other sources of data to construct a comprehensive dynamic picture of maritime traffic, in real-time. Moreover, the proposed ....Collision Avoidance in Shipping Lanes via Intelligent Sensor Data Fusion . This project aims to develop an online maritime traffic monitoring system for reliable collision/contact avoidance that exploits complementary data from high-resolution airborne sensors and surface vessel sensors. Our approach is based on optimal scheduling and fusion of the sensor data and possibly other sources of data to construct a comprehensive dynamic picture of maritime traffic, in real-time. Moreover, the proposed methodology enables quantification of confidence in the predictions. This will provide ship owners, directly to their vessels and/or at the fleet management centres, information such as weather reports, reliable collision/no-collision warnings and avoidance strategies, on-the-fly. Read moreRead less
A Bayesian Approach to Distributed Estimation for Multi-Object Systems. This project aims to develop new signal processing techniques that facilitate autonomous technologies for environmental perception, with the ability to efficiently process large data volumes from multiple sensing modalities. Rapid advances in sensors and networks have led to a digital data deluge, from which extracting useful information presents new technological challenges and opportunities. To address this development, th ....A Bayesian Approach to Distributed Estimation for Multi-Object Systems. This project aims to develop new signal processing techniques that facilitate autonomous technologies for environmental perception, with the ability to efficiently process large data volumes from multiple sensing modalities. Rapid advances in sensors and networks have led to a digital data deluge, from which extracting useful information presents new technological challenges and opportunities. To address this development, this project seeks to develop new distributed solutions for statistical estimation, which are specifically designed for dynamic systems with multiple object states, and are inherently scalable and robust. The potential benefits include new technologies for smart cities, autonomous infrastructure, and digital productivity.Read moreRead less