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A 3D Indoor Localization Approach Based on Spherical Wave-front and Channel Spatial Geometry
Liu, Yuan; Wu, Linlong; Alaeekerahroodi, Mohammad et al.
2022In Liu, Yuan; Wu, Linlong; Alaeekerahroodi, Mohammad et al. (Eds.) 2022 IEEE 12th Sensor Array and Multichannel Signal Processing Workshop (SAM)
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Keywords :
Channel model; propagation graph; indoor localization; SAGE; spherical wave-front
Abstract :
[en] Because of the near-field nature of radio propagation, spherical wave-front and multipath effect are prominent in indoor scenarios, making localization even more difficult. In this paper, we propose a three-dimensional (3D) indoor localization algorithm that takes these issues into account. Specifically, we first adopted a high-resolution channel parameter estimation method for path delays based on the Space-Alternating Generalized Expectation-maximization (SAGE), and then these path delays are adopted in the 3D localization principles based on the target-antenna geometry. The proposed algorithm is validated by numerical simulations, where the channel data is generated by the propagation graph (PG) to model the true wireless propagation closely in the testing scenarios. The results demonstrate that the proposed approach can deal with both point and non-point targets with 3D localization errors of less than 30 cm for 97% of the testing trails in a 10×20×3 m3 indoor space.
Research center :
- Interdisciplinary Centre for Security, Reliability and Trust (SnT) > SPARC- Signal Processing Applications in Radar and Communications
Disciplines :
Electrical & electronics engineering
Author, co-author :
Liu, Yuan  ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SPARC
Wu, Linlong  ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SPARC
Alaeekerahroodi, Mohammad  ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SPARC
Mysore Rama Rao, Bhavani Shankar  ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SPARC
External co-authors :
no
Language :
English
Title :
A 3D Indoor Localization Approach Based on Spherical Wave-front and Channel Spatial Geometry
Publication date :
June 2022
Event name :
2022 IEEE 12th Sensor Array and Multichannel Signal Processing Workshop (SAM)
Event organizer :
IEEE signal processing society
Event place :
Trondheim, Norway
Event date :
from 20-06-2022 to 23-06-2022
Audience :
International
Main work title :
2022 IEEE 12th Sensor Array and Multichannel Signal Processing Workshop (SAM)
Pages :
101-105
Peer reviewed :
Peer reviewed
Focus Area :
Security, Reliability and Trust
Name of the research project :
MASTERS
Funders :
FNR - Fonds National de la Recherche [LU]
Available on ORBilu :
since 23 December 2022

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