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

Abstract : 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
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https://hal.laas.fr/hal-03089658
Contributor : Pons Patrick <>
Submitted on : Monday, December 28, 2020 - 5:15:06 PM
Last modification on : Thursday, June 10, 2021 - 3:02:14 AM
Long-term archiving on: : Monday, March 29, 2021 - 6:46:43 PM

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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⟩

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