Beampattern Design for Transmit Architectures Based on Reconfigurable Intelligent Surfaces

Fuente: arXiv
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Main Authors: D'Elia, Ciro, Grossi, Emanuele, Venturino, Luca
Format: Preprint
Published: 2023
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author D'Elia, Ciro
Grossi, Emanuele
Venturino, Luca
author_facet D'Elia, Ciro
Grossi, Emanuele
Venturino, Luca
contents In this work, we tackle the problem of beampattern design for a transmit system employing a large reconfigurable intelligent surface (RIS) to redirect radio frequency signals emitted by a few active antennas (sources). We begin by establishing a convenient signal model and discussing the impact of signal bandwidth, source-RIS channel, and system geometry on our derivations. Subsequently, we propose a joint optimization of the waveform emitted by each source and the phase shifts introduced by the RIS. The objective is to match a desired space-frequency distribution of the far-field radiation pattern, relevant to both radar and communication applications. We present a sub-optimal solution to this problem, subject to a constraint on the total power radiated by the sources and, optionally, on the constant modulus of the waveforms. The provided example demonstrates the effective beampattern shaping capabilities of this RIS-based transmit architecture. Specifically, for the same array size and the same desired radiation pattern, the resulting approximation error is comparable to that obtained with a fully-digital MIMO array, especially when constant-modulus waveforms are enforced, and significantly smaller than that of a phased array.
format Preprint
id arxiv_https___arxiv_org_abs_2306_15297
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Beampattern Design for Transmit Architectures Based on Reconfigurable Intelligent Surfaces
D'Elia, Ciro
Grossi, Emanuele
Venturino, Luca
Signal Processing
In this work, we tackle the problem of beampattern design for a transmit system employing a large reconfigurable intelligent surface (RIS) to redirect radio frequency signals emitted by a few active antennas (sources). We begin by establishing a convenient signal model and discussing the impact of signal bandwidth, source-RIS channel, and system geometry on our derivations. Subsequently, we propose a joint optimization of the waveform emitted by each source and the phase shifts introduced by the RIS. The objective is to match a desired space-frequency distribution of the far-field radiation pattern, relevant to both radar and communication applications. We present a sub-optimal solution to this problem, subject to a constraint on the total power radiated by the sources and, optionally, on the constant modulus of the waveforms. The provided example demonstrates the effective beampattern shaping capabilities of this RIS-based transmit architecture. Specifically, for the same array size and the same desired radiation pattern, the resulting approximation error is comparable to that obtained with a fully-digital MIMO array, especially when constant-modulus waveforms are enforced, and significantly smaller than that of a phased array.
title Beampattern Design for Transmit Architectures Based on Reconfigurable Intelligent Surfaces
topic Signal Processing
url https://arxiv.org/abs/2306.15297