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Downlink Single-Snapshot Localization and Mapping with a Single-Antenna Receiver
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TLDR
In this article, a joint maximum likelihood estimation problem is formulated and its solution formally derived for single-snapshot localization and mapping in the more challenging case of a user equipped with a single-antenna receiver.Abstract:
5G mmWave MIMO systems enable accurate estimation of the user position and mapping of the radio environment using a single snapshot when both the base station (BS) and user are equipped with large antenna arrays. However, massive arrays are initially expected only at the BS side, likely leaving users with one or very few antennas. In this paper, we propose a novel method for single-snapshot localization and mapping in the more challenging case of a user equipped with a single-antenna receiver. The joint maximum likelihood (ML) estimation problem is formulated and its solution formally derived. To avoid the burden of a full-dimensional search over the space of the unknown parameters, we present a novel practical approach that exploits the sparsity of mmWave channels to compute an approximate joint ML estimate. A thorough analysis, including the derivation of the Cramer-Rao lower bounds, reveals that accurate localization and mapping can be achieved also in a MISO setup even when the direct line-of-sight path between the BS and the user is severely attenuated.read more
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Journal ArticleDOI
5G SLAM Using the Clustering and Assignment Approach with Diffuse Multipath
TL;DR: This study considers an intermediate approach, which consists of four phases—downlink data transmission, multi-dimensional channel estimation, channel parameter clustering, and simultaneous localization and mapping (SLAM) based on a novel likelihood function.
Posted Content
RIS-aided Joint Localization and Synchronization with a Single-Antenna MmWave Receiver
TL;DR: It is shown that thanks to the use of a reconfigurable intelligent surface (RIS), joint localization and synchronization is possible with only downlink MISO transmissions and attains the Cramér-Rao lower bound even for moderate values of the system parameters.
References
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5G mmWave Positioning for Vehicular Networks
TL;DR: The specific signal characteristics of 5G communication turn out to be highly conducive for vehicle positioning and can work in synergy with existing on-vehicle positioning and mapping systems to provide redundancy for certain applications, in particular automated driving.
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High-Accuracy Localization for Assisted Living: 5G systems will turn multipath channels from foe to friend
Klaus Witrisal,Paul Meissner,Erik Leitinger,Yuan Shen,Carl Gustafson,Fredrik Tufvesson,Katsuyuki Haneda,Davide Dardari,Andreas F. Molisch,Andrea Conti,Moe Z. Win +10 more
TL;DR: It is demonstrated that new millimeter-wave (mm-wave) technology, under investigation for 5G communications systems, will be able to provide centimeter (cm)-accuracy indoor localization in a robust manner, ideally suited for AL.
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Initial Access in 5G mmWave Cellular Networks
TL;DR: It is shown that the best strategy depends on the target SNR regime, and guidelines to characterize the optimal choice as a function of the system parameters are provided.
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Direct Localization for Massive MIMO
TL;DR: This work proposes a direct localization approach in which the position of a user is localized by jointly processing the observations obtained at distributed massive MIMO base stations, and leads to improved performance results compared to previous existing methods.
Journal ArticleDOI
An ESPRIT-Based Approach for 2-D Localization of Incoherently Distributed Sources in Massive MIMO Systems
TL;DR: The analysis shows that the estimation performance of the proposed approach improves when the large-scale/massive MIMO systems are employed and the approximate Cramér-Rao bound ofThe proposed estimator for the 2-D localization is derived.