Statistical Approach for Robust Indoor Positioning against Signal Variations

There are various methods for indoor positioning, but achieving precise accuracy in the presence of signal variations caused by diverse factors in indoor spaces is challenging. Robust indoor positioning methods are required to handle irregular and unpredictable signal changes. In this paper, we propose a statistical approach to indoor positioning, aiming to provide robustness against signal variations.