The increasing use of UAVs for civilian or military purposes and thus their integration into the airspace leads us to rethink surveillance systems. This is particularly true for radars as they must consider the threat that would constitute a small UAV operating at low altitude, low speed and whose RCS (Radar Cross Section) would be of the same order of magnitude as that of a bird for example.
This scenario combines three issues:
1. The detection of UAVs using a Multiple-Inputs Multiple Outputs (MIMO) radar configuration,
2. The classification of moving targets (UAVs, birds) using polarimetric filtering capabilities.
3. The management of radar modes (surveillance, identification)
Here, the MIMO configuration is envisaged to ensure a surveillance mode over a wider sector and to enable a long integration capacity suitable for the detection of targets moving at low speed.
Polarimetry would be implemented to distinguish UAVs from birds among moving targets. This technique has been shown promising results for this type of classification (, ).
Mode management will need to ensure optimal monitoring capability.
This thesis will develop novel algorithms for classifications of UAVs on the HYCAM radar system combining polarimetry and MIMO.
It will draw on ONERA’s experience in both fields and in particular on a thesis work supported in 2015 () on MIMO waveforms. It will also be able to rely on ONERA’s expertise in the field of radar polarimetry applied to surface systems and airborne systems. The novel algorithms for the proposed study will be evaluated on an operational radar demonstrator, HYCAM (, https://www.onera.fr/demr/unites-de-recherche#srm
), to carry out live experiments for the different measurement modes and their management.
University of Glasgow will bring its expertise in terms of classification, radar systems and MIMO.
: X-band measurements of radar signatures of large sea birds - Børge Torvik, Karl Erik Olsen, Hugh D. Griffiths, 2014 International Radar Conference
: K-band Signature Radar Analysis of a Flying Duck - Børge Torvik, Karl E. Olsen, Hugh D. Griffiths
: MIMO Radar Processing Methods for Anticipating and Compensating Real World Imperfections - Mathieu Cattenoz - thesis defended on May 22, 2015
 HYCAM - a software-defined testbed for experiments of new S band surface radar concepts - Laurent Constancias, Philippe Brouard, Eric Chaumette, Arnaud Brown, Sylvain Attia; European Radar Conference, Paris, October 2010.
Candidate Profile: Engineering School and/or Master 2
Desired skills: Physics, Radar, Signal Processing
Must hold a master degree with Honours 2:1 or above from EEE or a relevant discipline, or a B.Eng./B.Sc. (Honours) Degree with first class Honours from EEE or relevant discipline.