Gareth Kennedy

Dr. Gareth Kennedy


Research Focus & Metrics

Academic Career Length

8Years (2019-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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11 December 2019 in IEEE Transactions on Antennas and Propagation
Verified
Journal Article
Closed access
MBMichael D. Bedford
Michael D. Bedford
Andrej HrovatAndrej Hrovat
Andrej Hrovat
GKGareth Kennedy
Gareth Kennedy
TJTomaž Javornik
Tomaž Javornik
PFPatrick Foster
Patrick Foster
Limited work has previously been conducted into microwave communication in natural caves and, although modal analysis has given acceptable results in some cave passages, multiple bends and highly irregular passages remained problematic. Recent advances in rapid capture laser scanning technology have permitted accurate 3D models of cave passages to be created, prompting the current study into modeling by ray tracing. Issues of model simplification and handling of roughness, have been studied. The technique has been used in several cave passages – one in which modeling by modal analysis was especially unsuccessful – at three frequencies, and experimental results obtained. Acceptable correlation was demonstrated despite the difficulty in accurately measuring or estimating average roughness.

4 February 2020 in Resources
Verified
Journal Article
Open access
PDF file
CHChad O. Hargrave
Chad O. Hargrave
LMLance Munday
Lance Munday
GKGareth Kennedy
Gareth Kennedy
AKAndré de Kock
André de Kock
This paper presents the results of recent work to develop and trial a mine machine radar sensor for underground coal mine vehicles. There is an urgent industry need for an integrated solution to the problem of operating an underground vehicle in conditions of dense ambient dust and/or smoke, such as may occur in underground coal mines after a fire or explosion. Under these conditions, sensors such as cameras and lidar offer limited assistance due to their inability to penetrate thick dust. Thermal infrared can penetrate dust but still results in poor vision, as there is insufficient temperature contrast between the tunnel walls and the ambient air. Microwave radar sensors are able to penetrate the dust, and suitable radar sensors have been developed for use in the automation industry. Adapting such sensors for use in an underground coal mining environment was the focus of this research effort, and involved trialing a suitable sensor in dust and smoke chambers as well as trials in an underground coal mine with introduced dust. Data processing and the development of a suitable user interface were key aspects of the research. Since any sensor would have to operate in an explosive atmosphere, a related research work developed a flameproof dielectric enclosure to allow the use of the radar in the mine environment.