Aveillant’s Dr Mohammed Jahangir will be presenting his paper ‘Robust Detection of micro-UAS drones with L-Band 3-D Holographic Radar’ at this year’s Sensor Signal Processing for Defence Conference (SSPD).
The paper will be presented as part of the ‘Tracking and Detection’ session on Thursday 22nd September 2016 at 11.55am.
An abstract for the paper can be seen below:
“Unmanned Aerial Systems are characterized by having small RCS, relatively slow motion profiles and low
operating altitudes compared with manned aircraft. Consequently, they are considerably more difficult to
detect and track. Here, we use L-Band Holographic Radar (HR) that employs a 2-D antenna array and
appropriate signal processing to create a 3-D, wide-area, staring surveillance sensor. The ability to
continuously dwell on targets over the entire search volume enables HR to achieve a level of processing
gain sufficient for detection of very low signature targets against a background of complex clutter. In this
paper trials results are presented for a small hexacopter. The necessary high detection sensitivity means
that many other small targets are detected, birds being a principle source of clutter. Here, a machine
learning decision tree classifier is used to reject non-drone targets resulting in near complete suppression
of false tracks whilst maintaining a high PD for drones.”
Details of the conference can be found at http://www.sspd.eng.ed.ac.uk/
For further information, please contact the Aveillant press office at:
Ben Tilley
