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RSSI-Based Indoor Localization Using Two-Step XGBoost


Author(s) : Taisei Kosaka, Steven Wandale, Koichi Ichige
IEICE Communications Express

Abstract


In this letter, we propose a Received Signal Strength Indicator (RSSI)-based indoor localization method using two-step extreme gradient boosting (XGBoost). The proposed two-step XGBoost leverages one of the location coordinates$(x$or$y$) as a feature to enhance the estimation accuracy. Simulation examples confirm that the proposed two-step XG-Boost approach could improve the estimation accuracy while maintaining low computational complexity.


Pages (from-to) 647-650
Volume 12
Issue number 12
Publication status Published - 2023

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This research output contributes to the following United Nations (UN) Sustainable Development Goals (SDGs)

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10.23919/comex.2023xbl0123

UN SDGs

This research output contributes to the following United Nations (UN) Sustainable Development Goals (SDGs)

sdg

Access document

10.23919/comex.2023xbl0123

UN SDGs

This research output contributes to the following United Nations (UN) Sustainable Development Goals (SDGs)

sdg

Access document

10.23919/comex.2023xbl0123