Classification of Radar Echoes for Identification and Remote Reading of Chipless Millimeter-Wave Sensors - LAAS - Laboratoire d'Analyse et d'Architecture des Systèmes
Article Dans Une Revue IEEE Transactions on Microwave Theory and Techniques Année : 2021

Classification of Radar Echoes for Identification and Remote Reading of Chipless Millimeter-Wave Sensors

Résumé

This paper describes the wireless and simultaneous interrogation and identification of multiple passive (zero-power) pressure sensors in an industrial environment with a reading range of at least 4 meters. The 3D beamscanning of the scene is performed from a 24GHz FM-CW radar and for diverse electric field polarizations. The identification is performed using a k-nearest neighbors classification. The benefit of using the cross-polarized electric fields combined with a radar imagery technique is enlightened from the analysis of the background clutter and the simultaneous remote interrogation of several passive pressure sensors at a distance up to 17.7m. The measurement uncertainty on pressure obtained from the proposed long-range wireless technique is finally reported and discussed.
Fichier principal
Vignette du fichier
TMTT2020_Henry_et_al_Classification_of_Radar_Echoes.pdf (3.96 Mo) Télécharger le fichier
Origine Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-02969744 , version 1 (16-10-2020)

Identifiants

Citer

Dominique Henry, Timothée Marchal, Julien Philippe, Patrick Pons, Hervé Aubert. Classification of Radar Echoes for Identification and Remote Reading of Chipless Millimeter-Wave Sensors. IEEE Transactions on Microwave Theory and Techniques, 2021, 69 (1), pp.926 - 937. ⟨10.1109/TMTT.2020.3028090⟩. ⟨hal-02969744⟩
104 Consultations
107 Téléchargements

Altmetric

Partager

More