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Program Leader: Professor Doug Gray
The Sensor Signal Processing Program researches the use of statistical
signal processing to extract useful information for the detection, characterisation
and recognition of objects in noisy environments. Three major areas
of statistical signal processing: statistical detection and estimation
theory; adaptive-signal processing; and classification theory are used
in CSSIP’s research. These techniques have been applied to the solution
of real-world problems and data in close collaboration with end users.
The Program comprises projects researching the processing of radar
signals in the defence, civil aviation and remote sensing industries,
the application of classification techniques in forensic science and
the rejection of interference affecting Global Positioning System (GPS)
receivers. This wide variety of applications utilises common underlying
signal processing techniques.
Microwave Radar plays a prominent role in CSSIP’s research,
particularly for Synthetic Aperture Radar (SAR) and Inverse Synthetic
Aperture Radar (ISAR), and, with the increasing availability of repeat
pass satellite data research into multi-pass SAR processing is now part
of CSSIP’s research program.
GPS is now widely used and the removal of interference is important
in safety critical areas that rely on GPS. CSSIP has developed a system
implementing space-time adaptive processing to reject interference.
Signal Classification: accompanying the increased use of sensor
systems for the detection of signals is the requirement for the classification
of such signals. Adding this capability to radars has many important
surveillance applications and CSSIP has developed a practical classification
system for maritime surveillance radars that is potentially useful in
busy harbour environments. Airborne ISAR also offers opportunities for
applying classification techniques. Techniques for identifying scratches
for matching bullets have been developed for forensic applications.
Data Fusion: There are numerous practical and theoretical problems
in fusing information from different types of sensors and from distributed
sensors. CSSIP is developing fusion techniques for radar and infrared
sensors and an extensive database for Research and Development use.
The SSP group maintain their own homepage which is available
here.
For further details please contact
Mr Geoff Vaughan-Evans
Centre Manager
CSSIP
Building P, Mawson Lakes Campus
University of South Australia
MAWSON LAKES
SA 5095 Australia
Phone: +61 8 8302 3923
Fax: +61 8 8302 5301
Email: gve@cssip.edu.au
or
Professor Doug Gray
Deputy CEO
Department of Electrical and Electronic Engineering
University of Adelaide
North Terrace
ADELAIDE
SA 5005
Phone: +61 8 8303 6425
Fax: +61 8 8303 4360
Email: dgray@eleceng.adelaide.edu.au
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