Compensating for Orientation Mismatch in Robust Wi-Fi Localization Using Histogram Equalization


The performance of Wi-Fi positioning systems degrades severely when the user orientation differs between locating and coaching phases. This paper proposes a novel approach primarily based on histogram equalization (HEQ) to atone for an orientation mismatch in sturdy Wi-Fi localization. The proposed technique involves changing the temporal–spatial radio signal strength into a reference perform (i.e., equalizing the histogram). By using equalized signals, the proposed algorithm improves the robustness of location estimation, even in the presence of mismatch orientation. The benefits of the proposed algorithm over ancient ways are that the idea of user behavior isn't required, and a digital compass does not would like to be embedded on a mobile device. Experiments conducted in Wi-Fi networks demonstrated the effectiveness of the proposed algorithm. The results show that the proposed algorithm outperforms the orientation classifier methodology and provides comparable positioning accuracy to the compass-assisted approach.

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