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.
Enhanced Through-Wall Imaging using Bayesian Compressive Sensing. The aim of this project is to develop radar imaging techniques which enable us to 'see' objects behind walls and opaque materials. The major intended breakthrough is the ability to image objects behind walls and inside buildings or enclosed structures without accessing the scene. Novel signal and image processing algorithms, based on Bayesian compressive sensing, will be developed to enhance image quality and resolution, improve s ....Enhanced Through-Wall Imaging using Bayesian Compressive Sensing. The aim of this project is to develop radar imaging techniques which enable us to 'see' objects behind walls and opaque materials. The major intended breakthrough is the ability to image objects behind walls and inside buildings or enclosed structures without accessing the scene. Novel signal and image processing algorithms, based on Bayesian compressive sensing, will be developed to enhance image quality and resolution, improve speed of operation, and reduce the cost and time of data acquisition and processing. Many applications are expected to benefit from this research including search and rescue, surveillance, security, and defence. The research outcomes are expected to enhance the capabilities of the Australian armed forces, counter-terrorism, police and law-enforcement agencies.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.
Robust signal processing theory for synthesis and analysis of spatial wavefields. This project will develop breakthrough signal processing techniques applied to wireless communication, defence and surveillance, entertainment systems, and acoustic imaging. The outcomes will produce new products. The project will also provide high quality research training for gifted postgraduate students and postdoctoral researchers.
Synthetic Aperture Radio Holography for High Resolution Remote Sensing. This project aims to develop fundamental theory and enabling technology for a novel radio remote sensing system using a breakthrough synthetic aperture radio holography concept. Such a system would leapfrog current capabilities to produce high-resolution, day-and-night and weather-independent 3-D images for many applications (eg geoscience and climate change research, environmental and agricultural monitoring, defence and se ....Synthetic Aperture Radio Holography for High Resolution Remote Sensing. This project aims to develop fundamental theory and enabling technology for a novel radio remote sensing system using a breakthrough synthetic aperture radio holography concept. Such a system would leapfrog current capabilities to produce high-resolution, day-and-night and weather-independent 3-D images for many applications (eg geoscience and climate change research, environmental and agricultural monitoring, defence and security-related target detection, and planetary exploration). Expected project outcomes include advanced sensing and data processing knowledge and a prototype demonstrating the developed analogue and digital hardware.Read moreRead less