Smartphone-Based Indoor Localization via Network Learning With Fusion of FTM/RSSI Measurements-Reference-Cited by-同舟云学术

Smartphone-Based Indoor Localization via Network Learning With Fusion of FTM/RSSI Measurements

Author:

Eberechukwu Paulson¹^ORCID,Park Hyunwoo¹,Laoudias Christos²^ORCID,Horsmanheimo Seppo³,Kim Sunwoo¹^ORCID

Affiliation:

1. Department of Electronic Engineering, Wireless Systems Laboratory, Hanyang University, Seoul, South Korea

2. KIOS Research and Innovation Center of Excellence, University of Cyprus, Nicosia, Cyprus

3. VTT Technical Research Centre of Finland Ltd., Espoo, Finland

Funder

Korean Government (MSIP), through the ITRC Support Program

LuxTurrim5G+ Project funded by Business Finland

European Union’s Horizon 2020 Research and Innovation Programme

Republic of Cyprus through the Deputy Ministry of Research, Innovation and Digital Policy and the Huawei Technologies Research

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Economics, Econometrics and Finance

Link

Reference17 articles.

1. DNN-based indoor fingerprinting localization with WiFi FTM;paulson;Proc IEEE 23rd Int Conf Mobile Data Manag,2022

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