Reference : A 3D Indoor Localization Approach Based on Spherical Wave-front and Channel Spatial G...
Scientific congresses, symposiums and conference proceedings : Paper published in a book
Engineering, computing & technology : Electrical & electronics engineering
Security, Reliability and Trust
http://hdl.handle.net/10993/53362
A 3D Indoor Localization Approach Based on Spherical Wave-front and Channel Spatial Geometry
English
Liu, Yuan mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SPARC >]
Wu, Linlong mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SPARC >]
Alaeekerahroodi, Mohammad mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SPARC >]
Mysore Rama Rao, Bhavani Shankar mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SPARC >]
Jun-2022
2022 IEEE 12th Sensor Array and Multichannel Signal Processing Workshop (SAM)
Liu, Yuan mailto
Wu, Linlong mailto
Alaeekerahroodi, Mohammad mailto
Mysore Rama Rao, Bhavani Shankar mailto
101-105
Yes
No
International
2022 IEEE 12th Sensor Array and Multichannel Signal Processing Workshop (SAM)
from 20-06-2022 to 23-06-2022
IEEE signal processing society
Trondheim
Norway
[en] Channel model ; propagation graph ; indoor localization ; SAGE ; spherical wave-front
[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.
Interdisciplinary Centre for Security, Reliability and Trust (SnT) > SPARC- Signal Processing Applications in Radar and Communications
Fonds National de la Recherche - FnR
MASTERS
Researchers ; Professionals ; General public
http://hdl.handle.net/10993/53362
10.1109/SAM53842.2022.9827865

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