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5G SLAM Using the Clustering and Assignment Approach with Diffuse Multipath

5G communication systems operating above 24 GHz have promising properties for user localization and environment mapping. Existing studies have either relied on simplified abstract models of the signal propagation and the measurements, or are based on direct positioning approaches, which directly map...

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Detalles Bibliográficos
Autores principales: Ge, Yu, Wen, Fuxi, Kim, Hyowon, Zhu, Meifang, Jiang, Fan, Kim, Sunwoo, Svensson, Lennart, Wymeersch, Henk
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7472370/
https://www.ncbi.nlm.nih.gov/pubmed/32824844
http://dx.doi.org/10.3390/s20164656
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author Ge, Yu
Wen, Fuxi
Kim, Hyowon
Zhu, Meifang
Jiang, Fan
Kim, Sunwoo
Svensson, Lennart
Wymeersch, Henk
author_facet Ge, Yu
Wen, Fuxi
Kim, Hyowon
Zhu, Meifang
Jiang, Fan
Kim, Sunwoo
Svensson, Lennart
Wymeersch, Henk
author_sort Ge, Yu
collection PubMed
description 5G communication systems operating above 24 GHz have promising properties for user localization and environment mapping. Existing studies have either relied on simplified abstract models of the signal propagation and the measurements, or are based on direct positioning approaches, which directly map the received waveform to a position. In this study, we consider 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. This approach can decompose the problem into simpler steps, thus leading to lower complexity. At the same time, by considering an end-to-end processing chain, we are accounting for a wide variety of practical impairments. Simulation results demonstrate the efficacy of the proposed approach.
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spelling pubmed-74723702020-09-04 5G SLAM Using the Clustering and Assignment Approach with Diffuse Multipath Ge, Yu Wen, Fuxi Kim, Hyowon Zhu, Meifang Jiang, Fan Kim, Sunwoo Svensson, Lennart Wymeersch, Henk Sensors (Basel) Article 5G communication systems operating above 24 GHz have promising properties for user localization and environment mapping. Existing studies have either relied on simplified abstract models of the signal propagation and the measurements, or are based on direct positioning approaches, which directly map the received waveform to a position. In this study, we consider 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. This approach can decompose the problem into simpler steps, thus leading to lower complexity. At the same time, by considering an end-to-end processing chain, we are accounting for a wide variety of practical impairments. Simulation results demonstrate the efficacy of the proposed approach. MDPI 2020-08-18 /pmc/articles/PMC7472370/ /pubmed/32824844 http://dx.doi.org/10.3390/s20164656 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Ge, Yu
Wen, Fuxi
Kim, Hyowon
Zhu, Meifang
Jiang, Fan
Kim, Sunwoo
Svensson, Lennart
Wymeersch, Henk
5G SLAM Using the Clustering and Assignment Approach with Diffuse Multipath
title 5G SLAM Using the Clustering and Assignment Approach with Diffuse Multipath
title_full 5G SLAM Using the Clustering and Assignment Approach with Diffuse Multipath
title_fullStr 5G SLAM Using the Clustering and Assignment Approach with Diffuse Multipath
title_full_unstemmed 5G SLAM Using the Clustering and Assignment Approach with Diffuse Multipath
title_short 5G SLAM Using the Clustering and Assignment Approach with Diffuse Multipath
title_sort 5g slam using the clustering and assignment approach with diffuse multipath
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7472370/
https://www.ncbi.nlm.nih.gov/pubmed/32824844
http://dx.doi.org/10.3390/s20164656
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