Joint Localization, Synchronization and Mapping via Phase-Coherent Distributed Arrays

Fuente: arXiv
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Autori principali: Fascista, Alessio, Deutschmann, Benjamin J. B., Keskin, Musa Furkan, Wilding, Thomas, Coluccia, Angelo, Witrisal, Klaus, Leitinger, Erik, Seco-Granados, Gonzalo, Wymeersch, Henk
Natura: Preprint
Pubblicazione: 2024
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author Fascista, Alessio
Deutschmann, Benjamin J. B.
Keskin, Musa Furkan
Wilding, Thomas
Coluccia, Angelo
Witrisal, Klaus
Leitinger, Erik
Seco-Granados, Gonzalo
Wymeersch, Henk
author_facet Fascista, Alessio
Deutschmann, Benjamin J. B.
Keskin, Musa Furkan
Wilding, Thomas
Coluccia, Angelo
Witrisal, Klaus
Leitinger, Erik
Seco-Granados, Gonzalo
Wymeersch, Henk
contents Extremely large-scale antenna array (ELAA) systems emerge as a promising technology in beyond 5G and 6G wireless networks to support the deployment of distributed architectures. This paper explores the use of ELAAs to enable joint localization, synchronization and mapping in sub-6 GHz uplink channels, capitalizing on the near-field effects of phase-coherent distributed arrays. We focus on a scenario where a single-antenna user equipment (UE) communicates with a network of access points (APs) distributed in an indoor environment, considering both specular reflections from walls and scattering from objects. The UE is assumed to be unsynchronized to the network, while the APs can be time- and phase-synchronized to each other. We formulate the problem of joint estimation of location, clock offset and phase offset of the UE, and the locations of scattering points (SPs) (i.e., mapping). Through comprehensive Fisher information analysis, we assess the impact of bandwidth, AP array size, wall reflections, SPs and phase synchronization on localization accuracy. Furthermore, we derive the maximum-likelihood (ML) estimator, which optimally combines the information collected by all the distributed arrays. To overcome its intractable high dimensionality, we propose a novel three-step algorithm that first estimates phase offset leveraging carrier phase information of line-of-sight (LoS) paths, then determines the UE location and clock offset via LoS paths and wall reflections, and finally locates SPs using a null-space transformation technique. Simulation results demonstrate the effectiveness of our approach in distributed architectures supported by radio stripes (RSs) -- an innovative alternative for implementing ELAAs -- while revealing the benefits of carrier phase exploitation and showcasing the interplay between delay and angular information under different bandwidth regimes.
format Preprint
id arxiv_https___arxiv_org_abs_2409_12478
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Joint Localization, Synchronization and Mapping via Phase-Coherent Distributed Arrays
Fascista, Alessio
Deutschmann, Benjamin J. B.
Keskin, Musa Furkan
Wilding, Thomas
Coluccia, Angelo
Witrisal, Klaus
Leitinger, Erik
Seco-Granados, Gonzalo
Wymeersch, Henk
Signal Processing
Extremely large-scale antenna array (ELAA) systems emerge as a promising technology in beyond 5G and 6G wireless networks to support the deployment of distributed architectures. This paper explores the use of ELAAs to enable joint localization, synchronization and mapping in sub-6 GHz uplink channels, capitalizing on the near-field effects of phase-coherent distributed arrays. We focus on a scenario where a single-antenna user equipment (UE) communicates with a network of access points (APs) distributed in an indoor environment, considering both specular reflections from walls and scattering from objects. The UE is assumed to be unsynchronized to the network, while the APs can be time- and phase-synchronized to each other. We formulate the problem of joint estimation of location, clock offset and phase offset of the UE, and the locations of scattering points (SPs) (i.e., mapping). Through comprehensive Fisher information analysis, we assess the impact of bandwidth, AP array size, wall reflections, SPs and phase synchronization on localization accuracy. Furthermore, we derive the maximum-likelihood (ML) estimator, which optimally combines the information collected by all the distributed arrays. To overcome its intractable high dimensionality, we propose a novel three-step algorithm that first estimates phase offset leveraging carrier phase information of line-of-sight (LoS) paths, then determines the UE location and clock offset via LoS paths and wall reflections, and finally locates SPs using a null-space transformation technique. Simulation results demonstrate the effectiveness of our approach in distributed architectures supported by radio stripes (RSs) -- an innovative alternative for implementing ELAAs -- while revealing the benefits of carrier phase exploitation and showcasing the interplay between delay and angular information under different bandwidth regimes.
title Joint Localization, Synchronization and Mapping via Phase-Coherent Distributed Arrays
topic Signal Processing
url https://arxiv.org/abs/2409.12478