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arXiv · 2601.00999

Dynamic Accuracy Estimation in a Wi-Fi-based Positioning System

Marcin Kolakowski·Vitomir Djaja-Josko
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Abstract

The paper presents a concept of a dynamic accuracy estimation method, in which the localization errors are derived based on the measurement results used by the positioning algorithm. The concept was verified experimentally in a Wi\nobreakdash-Fi based indoor positioning system, where several regression methods were tested (linear regression, random forest, k-nearest neighbors, and neural networks). The highest positioning error estimation accuracy was achieved for random forest regression, with a mean absolute error of 0.72 m.

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Marcin Kolakowski, Vitomir Djaja-Josko. 2026-01-02. Dynamic Accuracy Estimation in a Wi-Fi-based Positioning System. https://doi.org/10.1109/telfor67910.2025.11314159

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