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arXiv · 2104.00768

Radar Target Detection aided by Reconfigurable Intelligent Surfaces

Stefano Buzzi·Emanuele Grossi·Marco Lops·Luca Venturino
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Abstract

In this work, we consider the target detection problem in a sensing architecture where the radar is aided by a reconfigurable intelligent surface (RIS), that can be modeled as an array of sub-wavelength small reflective elements capable of imposing a tunable phase shift to the impinging waves and, ultimately, of providing the radar with an additional echo of the target. A theoretical analysis is carried out for closely- and widely-spaced (with respect to the target) radar and RIS and for different beampattern configurations, and some examples are provided to show that large gains can be achieved by the considered detection architecture.

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Stefano Buzzi, Emanuele Grossi, Marco Lops, Luca Venturino. 2021-04-01. Radar Target Detection aided by Reconfigurable Intelligent Surfaces. https://doi.org/10.1109/lsp.2021.3089085

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