Localization Based on MIMO Backscattering from Retro-Directive Antenna Arrays
Marina Lotti, Nicol\`o Decarli, Gianni Pasolini, Davide Dardari

TL;DR
This paper presents a novel MIMO backscattering approach using retro-directive antenna arrays for ultra-low-latency, energy-efficient localization in vehicular environments, enhancing accuracy and reliability for autonomous driving.
Contribution
It introduces RAA-based architectures and schemes for fast, low-energy, angle-of-arrival localization leveraging MIMO gains in backscatter communication.
Findings
Achieves precise, low-latency localization with low complexity.
Demonstrates potential for ultra-low-energy device operation.
Provides analytical and numerical validation of schemes.
Abstract
In next-generation vehicular environments, precise localization is crucial for facilitating advanced applications such as autonomous driving. As automation levels escalate, the demand rises for enhanced accuracy, reliability, energy efficiency, update rate, and reduced latency in position information delivery. In this paper, we propose the exploitation of backscattering from retro-directive antenna arrays (RAAs) to address these imperatives. We introduce and discuss two RAA-based architectures designed for various applications, including network localization and navigation. These architectures enable swift and simple angle-of-arrival estimation by using signals backscattered from RAAs. They also leverage multiple antennas to capitalize on multiple-input-multiple-output (MIMO) gains, thereby addressing the challenges posed by the inherent path loss in backscatter communication,…
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Taxonomy
TopicsIndoor and Outdoor Localization Technologies · Antenna Design and Analysis · Microwave Imaging and Scattering Analysis
