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Fast Antenna Testing via Regularization Procedures based on Compressive Sensing

Abstract : Antenna testing consists in finding potential defaults from radiated field measurements. Two regularization procedures based on compressive sensing are proposed to solve efficiently this inverse problem. With the a priori knowledge of the failure free antenna pattern, a differential formulation of the problem makes possible the diagnosis of the antenna under test from a reduced number of measurements leading to a significant gain of time. The proposed procedures are numerically validated to test an array of waveguides with phase failures. The proposed approaches are easy to implement using off-the-shelf routines and they require much less measurement points than conventional methods based on Fourier transform or matrix inversion.
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https://hal-univ-rennes1.archives-ouvertes.fr/hal-01737240
Contributor : Laurent Jonchère <>
Submitted on : Monday, March 19, 2018 - 1:06:47 PM
Last modification on : Wednesday, October 14, 2020 - 3:53:04 AM

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  • HAL Id : hal-01737240, version 1

Citation

Benjamin Fuchs, Laurent Le Coq. Fast Antenna Testing via Regularization Procedures based on Compressive Sensing. International Symposium of IEEE-Antennas-and-Propagation-Society / USNC/URSI National Radio Science Meeting, Jul 2017, San Diego, CA, United States. ⟨hal-01737240⟩

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