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

Abstract : 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.
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https://hal.laas.fr/hal-02969744
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Submitted on : Friday, October 16, 2020 - 6:14:57 PM
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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, Institute of Electrical and Electronics Engineers, In press, ⟨10.1109/TMTT.2020.3028090⟩. ⟨hal-02969744⟩

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