Identification of Chipless Sensors in Cluttered Environments From 3D Radar Imagery and Polarimetry

Dominique Henry (1) , Timothée Marchal (1) , Julien Philippe (1) , Patrick Pons (1) , Hervé Aubert (1)

1 LAAS-MINC - Équipe MIcro et Nanosystèmes pour les Communications sans fil

This paper reports a new method for the identification of chipless sensors based on 3D radar imagery and polarimetry. Chipless pressure sensors are wirelessly interrogated in a highly reflective environment with a 24GHz FM-CW radar. A novel algorithm of identification based on magnitude of radar echoes 3D distribution is proposed and applied to mitigate the clutter and identify multiple chipless pressure sensors. The electromagnetic footprint of sensors is defined and advantageously used for identification purposes. 1

Domaines: Electromagnétisme; Micro et nanotechnologies/Microélectronique

Dominique Henry, Timothée Marchal, Julien Philippe, Patrick Pons, Hervé Aubert. Identification of Chipless Sensors in Cluttered Environments From 3D Radar Imagery and Polarimetry. 2020 XXXIIIrd General Assembly and Scientific Symposium of the International Union of Radio Science (URSI GASS), Aug 2020, Rome, Italy. pp.1-4, ⟨10.23919/URSIGASS49373.2020.9232397⟩. ⟨hal-03089658⟩