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CS-based computational methods for inverse problems arising in arrays processing and design

Abstract : This work presents a review of the recent Compressive Sensing (CS)-based computational methodologies when applied to the design and processing of antenna arrays. The arising inverse problems have been properly formulated in order to deals with the CS theoretical requirements. Two instances of array processing and design, namely the diagnosis of failed elements and the synthesis of clustered arrays, are proposed and validated by a simple numerical example.
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https://hal.archives-ouvertes.fr/hal-01962651
Contributor : Andrea Massa <>
Submitted on : Thursday, December 20, 2018 - 5:12:45 PM
Last modification on : Wednesday, April 8, 2020 - 4:01:48 PM

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Andrea Massa, Giorgio Gottardi, Eva Rajo-Iglesias. CS-based computational methods for inverse problems arising in arrays processing and design. Journal of Physics: Conference Series, IOP Publishing, 2018, 1131, pp.1-7. ⟨10.1088/1742-6596/1131/1/012004⟩. ⟨hal-01962651⟩

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