5G SLAM Using the Clustering and Assignment Approach with Diffuse Multipath
(2020) In Sensors (Basel, Switzerland) 20(16).- Abstract
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... (More)
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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- author
- Ge, Yu ; Wen, Fuxi ; Kim, Hyowon ; Zhu, Meifang LU ; Jiang, Fan ; Kim, Sunwoo ; Svensson, Lennart and Wymeersch, Henk
- organization
- publishing date
- 2020
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- clustering, diffuse multipath, mmWave single base station SLAM
- in
- Sensors (Basel, Switzerland)
- volume
- 20
- issue
- 16
- article number
- 4656
- publisher
- MDPI AG
- external identifiers
-
- pmid:32824844
- scopus:85089807438
- ISSN
- 1424-8220
- DOI
- 10.3390/s20164656
- language
- English
- LU publication?
- yes
- id
- 1193ce24-b9af-49cd-8b31-81e93f2fe46b
- date added to LUP
- 2020-09-07 15:19:47
- date last changed
- 2024-04-03 12:49:20
@article{1193ce24-b9af-49cd-8b31-81e93f2fe46b,
abstract = {{<p>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.</p>}},
author = {{Ge, Yu and Wen, Fuxi and Kim, Hyowon and Zhu, Meifang and Jiang, Fan and Kim, Sunwoo and Svensson, Lennart and Wymeersch, Henk}},
issn = {{1424-8220}},
keywords = {{clustering; diffuse multipath; mmWave single base station SLAM}},
language = {{eng}},
number = {{16}},
publisher = {{MDPI AG}},
series = {{Sensors (Basel, Switzerland)}},
title = {{5G SLAM Using the Clustering and Assignment Approach with Diffuse Multipath}},
url = {{http://dx.doi.org/10.3390/s20164656}},
doi = {{10.3390/s20164656}},
volume = {{20}},
year = {{2020}},
}