A Map-Free Indoor Localization Method Using Ultrawideband Large-Scale Array Systems

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Abstract

In this paper, we propose a novel map-free indoor
localization method using ultrawideband large-scale array systems
in high frequency bands. The proposed localization method
comprises two stages, namely a channel-estimation stage and a
target-localization stage. Due to the large array aperture, the
locations of the scatterers associated to the multipath components
(MPCs) can be estimated with the spherical wavefront model.
The estimated scatterers are further used as virtual anchors to
estimate the location of the target through trilateration. Since
the scatterer locations are obtained from channel measurements,
the map of the environment is not needed for localization. The
proposed method is also assessed with measurements conducted
in a cluttered indoor environment with line-of-sight (LoS) and
non-line-of-sight (NLoS) scenarios. Results show the proposed
algorithm attains good localization accuracy in both scenarios.
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Details

In this paper, we propose a novel map-free indoor
localization method using ultrawideband large-scale array systems
in high frequency bands. The proposed localization method
comprises two stages, namely a channel-estimation stage and a
target-localization stage. Due to the large array aperture, the
locations of the scatterers associated to the multipath components
(MPCs) can be estimated with the spherical wavefront model.
The estimated scatterers are further used as virtual anchors to
estimate the location of the target through trilateration. Since
the scatterer locations are obtained from channel measurements,
the map of the environment is not needed for localization. The
proposed method is also assessed with measurements conducted
in a cluttered indoor environment with line-of-sight (LoS) and
non-line-of-sight (NLoS) scenarios. Results show the proposed
algorithm attains good localization accuracy in both scenarios.
Original languageEnglish
JournalI E E E Antennas and Wireless Propagation Letters
Volume17
Issue number9
Pages (from-to)1682-1686
Number of pages5
ISSN1536-1225
DOI
Publication statusPublished - 6 Aug 2018
Publication categoryResearch
Peer-reviewedYes

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