Search Results for author: Anna Guerra

Found 7 papers, 0 papers with code

Holographic Imaging with XL-MIMO and RIS: Illumination and Reflection Design

no code implementations18 Dec 2023 Giulia Torcolacci, Anna Guerra, Haiyang Zhang, Francesco Guidi, Qianyu Yang, Yonina C. Eldar, Davide Dardari

This paper addresses a near-field imaging problem utilizing extremely large-scale multiple-input multiple-output (XL-MIMO) antennas and reconfigurable intelligent surfaces (RISs) already in place for wireless communications.

Near and Far Field Model Mismatch: Implications on 6G Communications, Localization, and Sensing

no code implementations10 Oct 2023 Ahmed Elzanaty, Jiuyu Liu, Anna Guerra, Francesco Guidi, Yi Ma, Rahim Tafazolli

The upcoming 6G technology is expected to operate in near-field (NF) radiating conditions thanks to high-frequency and electrically large antenna arrays.

Radio SLAM for 6G Systems at THz Frequencies: Design and Experimental Validation

no code implementations23 Dec 2022 Marina Lotti, Gianni Pasolini, Anna Guerra, Francesco Guidi, Raffaele D'Errico, Davide Dardari

Next-generation wireless networks will see the convergence of communication and sensing, also exploiting the availability of large bandwidths in the Terahertz (THz) spectrum and electrically large antenna arrays on handheld devices.

Simultaneous Localization and Mapping

Near-field Localization with Dynamic Metasurface Antennas

no code implementations28 Oct 2022 Qianyu Yang, Anna Guerra, Francesco Guidi, Nir Shlezinger, Haiyang Zhang, Davide Dardari, Baoyun Wang, Yonina C. Eldar

We use a direct positioning estimation method based on curvature-of-arrival of the impinging wavefront to obtain the user location, and characterize the effects of DMA tuning on the estimation accuracy.

Near-field Tracking with Large Antenna Arrays: Fundamental Limits and Practical Algorithms

no code implementations11 Feb 2021 Anna Guerra, Francesco Guidi, Davide Dardari, Petar M. Djuric

In this paper, we study a near-field tracking problem for inferring the state (i. e., the position and velocity) of a moving source with an ad-hoc observation model that accounts for the phase profile of a large receiving array.

Information Theory Systems and Control Systems and Control Information Theory

Reinforcement Learning for UAV Autonomous Navigation, Mapping and Target Detection

no code implementations5 May 2020 Anna Guerra, Francesco Guidi, Davide Dardari, Petar M. Djuric

In this paper, we study a joint detection, mapping and navigation problem for a single unmanned aerial vehicle (UAV) equipped with a low complexity radar and flying in an unknown environment.

Autonomous Navigation reinforcement-learning +1

Dynamic Radar Network of UAVs: A Joint Navigation and Tracking Approach

no code implementations13 Jan 2020 Anna Guerra, Davide Dardari, Petar M. Djuric

Nowadays there is a growing research interest on the possibility of enriching small flying robots with autonomous sensing and online navigation capabilities.

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