Universal gated recurrent unit-based 3D localization method for ultra-wideband systems

In this study, a universal gated recurrent unit (u-GRU)-based location estimation (LE) method is proposed to obtain the location of an ultra-wideband (UWB) transmitter. The proposed u-GRU-LE system consists of a GRU-based classifier and nine localizers for nine channel models (CMs). The classifier f...

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Bibliographic Details
Published inICT express Vol. 7; no. 4; pp. 540 - 544
Main Authors Nguyen, Doan Tan Anh, Joung, Jingon, Kang, Xin
Format Journal Article
LanguageEnglish
Published Elsevier B.V 01.12.2021
Elsevier
한국통신학회
Subjects
3D localization
Deep learning
Gated recurrent unit (GRU)
Ultra-wideband (UWB) system
전자/정보통신공학
Deep learning
3D localization
Gated recurrent unit (GRU)
Ultra-wideband (UWB) system
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Summary:In this study, a universal gated recurrent unit (u-GRU)-based location estimation (LE) method is proposed to obtain the location of an ultra-wideband (UWB) transmitter. The proposed u-GRU-LE system consists of a GRU-based classifier and nine localizers for nine channel models (CMs). The classifier first predicts the CM, and then, the proper localizer is selected according to the predicted CM to estimate the location of the transmitter. Rigorous simulations are executed with various CMs. From the results, it is verified that the proposed universal GRU-based 3D localization method generally performs well irrespective of the channel environments.
ISSN:2405-9595
2405-9595
DOI:10.1016/j.icte.2021.06.006