Coherent Optical Orthogonal Frequency-Division Multiplexing. Coherent optical orthogonal frequency-division multiplexing (CO-OFDM) incorporates the benefits of OFDM to compensate for distortion and monitor the channel conditions in long-haul optical links. The advantages of CO-OFDM can help meet the challenges of future optical networks that Australia depends upon for its information infrastructure and economic growth. Australia is currently at the forefront of optical OFDM technology, and the ....Coherent Optical Orthogonal Frequency-Division Multiplexing. Coherent optical orthogonal frequency-division multiplexing (CO-OFDM) incorporates the benefits of OFDM to compensate for distortion and monitor the channel conditions in long-haul optical links. The advantages of CO-OFDM can help meet the challenges of future optical networks that Australia depends upon for its information infrastructure and economic growth. Australia is currently at the forefront of optical OFDM technology, and the continuation of these research activities will further improve Australia's international ICT reputation. Furthermore, in the course of the project, a senior research associate and multiple highly-skilled students will be trained and exposed to techniques and innovations in this exciting field.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE120102210
Funder
Australian Research Council
Funding Amount
$350,333.00
Summary
Feedback control as a tool for enhanced neuroprosthetic stimulation. The aim is to use control theory tools to find optimal stimulation parameters to use in a bionic implant. This project will lead to improvements in understanding of mechanisms underlying electrical stimulation and to improvements in medical bionics technologies.
Cognitive Radars for Automobiles. Automobile radar systems are an important technology for improving road safety by providing advanced driver warnings in vehicles. Though such devices currently exist in practice there is no guarantee that they will operate successfully when deployed on a mass scale in every vehicle given the limited allocated frequency spectrum. The spectral interference due to radar access becomes a major issue when several radars operate in a confined bandwidth simultaneously, ....Cognitive Radars for Automobiles. Automobile radar systems are an important technology for improving road safety by providing advanced driver warnings in vehicles. Though such devices currently exist in practice there is no guarantee that they will operate successfully when deployed on a mass scale in every vehicle given the limited allocated frequency spectrum. The spectral interference due to radar access becomes a major issue when several radars operate in a confined bandwidth simultaneously, potentially leading to a complete system failure during mass deployment. This project will conduct fundamental research intended to enable dynamic spectrum accessing in automobile radars and redesign the radar systems in the form of sequence and waveform designs to suit requirements.Read moreRead less
New entropy measures of short term signals for smart wearable devices. This project aims to improve reliability and accuracy of wearable devices by developing a new set of computationally efficient algorithms. Wearable devices can be very effective in remote and continuous monitoring to detect short or bursty anomalous events. Present devices are unable to detect such events effectively due to limited capability in processing short length signal. This project will provide computationally efficie ....New entropy measures of short term signals for smart wearable devices. This project aims to improve reliability and accuracy of wearable devices by developing a new set of computationally efficient algorithms. Wearable devices can be very effective in remote and continuous monitoring to detect short or bursty anomalous events. Present devices are unable to detect such events effectively due to limited capability in processing short length signal. This project will provide computationally efficient algorithms for signal quality analysis and enhanced feature extraction methods in resource constrained wearable devices. This will improve the reliability and performance of wearable devices for adoption in intelligent decision-making systems.Read moreRead less
Accurate position estimation using intensity-modulated optical signals. Accurate information about the position of a person or device is essential in many situations. However, despite extensive worldwide research, there is still no positioning system suitable for many important indoor applications. The widespread introduction of energy efficient white light emitting diodes (LEDs) for indoor lighting provides an unprecedented opportunity to solve this problem by using these LEDs to transmit signa ....Accurate position estimation using intensity-modulated optical signals. Accurate information about the position of a person or device is essential in many situations. However, despite extensive worldwide research, there is still no positioning system suitable for many important indoor applications. The widespread introduction of energy efficient white light emitting diodes (LEDs) for indoor lighting provides an unprecedented opportunity to solve this problem by using these LEDs to transmit signals from which a receiver can calculate its position. However the theory underlying the design and analysis of position estimation using modulated optical signals does not exist. This project aims to develop this fundamental theoretical basis and apply it to create the accurate indoor positioning systems of the future.Read moreRead less
A compact microphone array system for outdoor low frequency noise measurements. To investigate the impact of wind farm noise on surrounding communities, the sound level caused by wind turbines must be accurately measured, which sometimes is hard due to wind induced noise and other interference noise. This project aims to propose a novel compact microphone array solution, where the wind induced noise is attenuated by a specially designed windproof shell first, and then the residual wind induced n ....A compact microphone array system for outdoor low frequency noise measurements. To investigate the impact of wind farm noise on surrounding communities, the sound level caused by wind turbines must be accurately measured, which sometimes is hard due to wind induced noise and other interference noise. This project aims to propose a novel compact microphone array solution, where the wind induced noise is attenuated by a specially designed windproof shell first, and then the residual wind induced noise and other interference noise are further filtered out by a specific adaptive noise cancellation algorithm based on the spherical and differential microphone array structure. With the proposed system, the measurement configuration size is expected to be reduced from the current few metres to less than 10 centimetres, and with better accuracy.Read moreRead less
A new approach to compressed sensing. Compressed sensing is an exciting new paradigm promising vastly improved signal sampling and reconstruction in a wide variety of applications including digital cameras, mobile phones and MRI machines. This project will explore a newly discovered approach to compressed sensing which uses mathematical arrays known as hash families.
Discovery Early Career Researcher Award - Grant ID: DE120100040
Funder
Australian Research Council
Funding Amount
$375,000.00
Summary
Partitioning and ordering Steiner triple systems. Steiner triple systems are fundamental mathematical objects with many real-world applications. This project will develop deep new insights into these objects, resulting in systems allowing many users to simultaneously use a communication channel, and in schemes for preventing the loss of computer data due to hard disk failures.
Accurate calibration and interpretation of airborne electromagnetic data. There is increasing interest in using airborne electromagnetic (AEM) data to explore structural features hidden beneath the earth's surface. At present, 2D images of these features can be built up using approximate 1D models that predict electrical conductivity. This research will develop 2D models that allow accurate imaging of 3D structures. Applications include mineral and diamond exploration, the mapping of leakage fro ....Accurate calibration and interpretation of airborne electromagnetic data. There is increasing interest in using airborne electromagnetic (AEM) data to explore structural features hidden beneath the earth's surface. At present, 2D images of these features can be built up using approximate 1D models that predict electrical conductivity. This research will develop 2D models that allow accurate imaging of 3D structures. Applications include mineral and diamond exploration, the mapping of leakage from tailings dams, and more precise mapping of dryland salinity. The project also aims to develop a method to calibrate AEM systems, leading to more accurate environmental mapping and significant long-term economic benefits.Read moreRead less
Dynamic substrates for surface-enhanced Raman scattering: piezoelectric actuated nanotextures with phase-locked signal processing. Surface-enhanced Raman scattering shows great promise for sensitive detection of a wide range of chemical and biological compounds. Novel electronic devices will be produced to actively tune the nanometre scale structures that generate the scattering signal, resulting in an improved fundamental understanding and control of the effect.