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RSSI-Based Indoor Localization Using Two-Step XGBoost
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 |
UN SDGs
This research output contributes to the following United Nations (UN) Sustainable Development Goals (SDGs)
UN SDGs
This research output contributes to the following United Nations (UN) Sustainable Development Goals (SDGs)
UN SDGs
This research output contributes to the following United Nations (UN) Sustainable Development Goals (SDGs)