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Radar systems, propagation and scattering


16:40: Object reconstruction via radar detection behind walls

Aihua Wood (1), Ryan Wood (2), Matthew Charnley (3)
(1)Air Force Institute of Technology (USA) , (2)Harvard University (USA) , (3)Rutgers University (USA)

This paper explores the through-the-wall inverse scattering problem via machine learning. The reconstruction method seeks to discover the shape, location, and type of hidden objects behind simulated walls. We use radar frequency (RF) sources and receivers placed outside the room to generate observation data with objects randomly placed inside the room.
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16:55 Invited talk: A Stochastic Ray-Based Model for UAV-to-Ground Radio Channels in Built-Up Environments

Claude Oestges
UCLouvain (Belgium)

A stochastic ray-based model is applied to model the UAV to-ground radio channel in urban areas. The modelingmethod relies on simple input data, such as input distributionparameters (e.g. mean building height, building heightvariance). The physical part of the model being based onray-tracing, it is also applicable over very wide parameterranges at a very low computation time thanks to a precalculationprocedure.
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17:15: Critical distances for near-ground propagation: application to dipole antennas

Hocine Anis Belaid, Shermila Mostarshedi, Benoit Poussot, Jean-Marc Laheurte
Université Gustave Eiffel (France)

This paper deals with the problem of near ground wave propagation, and in particular with the assessment of the region in which the near-ground wave becomes the dominant component. The critical distances are estimated as a function of the link parameters in the case of dipole antennas.
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17:30: Small target detection from a drone-based phased-array radar

online, on-demand

Zaynab Guerraou (1), Ali Khenchaf (1), Fabrice Comblet (1), Phillipe Morgand (2), Phillipe Pouliguen (3), Florent Jangal (3)
(1)ENSTA Bretagne (France) , (2)Centre d'Ingénierie des Systèmes en Télécommunications en ElectroMagnétisme et Electronique (France) , (3)Agence de l'Innovation de Défense (AID) (France)

In the recent years, small UAVs have become accessible for military, commercial and leisure activities. This comes with an increasing apprehension concerning their hazardous and illicit misuses. Radar systems have proved good capabilities for UAV surveillance, but small target detection still remains challenging and subject to active research. In this perspective, the present work deals with clutter mitigation and small target detection using phased-array radar and adaptive processing.
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