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.
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.
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE110100116
Funder
Australian Research Council
Funding Amount
$400,000.00
Summary
100 Gbit to 1 Terabit per second optical communication test bed facility. This facility will develop and demonstrate novel optical technologies that will underpin the generation and transmission of a higher-speed Ethernet at 100 Gb/s to 1Terabit/s, and will lead to better broadband and more energy efficient internet. At the foundation of this research will be a test bed with multiple signal sources at data rates above 50 Gbaud.