Confidence-Interval-Fuzzy-Model-Based Indoor Localization.

Simon Tomazic
Simon Tomazic

IEEE Transactions on Industrial Electronics, pp. 2015-2024, 2019.

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Abstract:

In this paper, an efficient indoor localization algorithm based on the confidence-interval fuzzy model is presented. The width of the confidence interval is essential within the proposed fingerprinting method for calculating weights, which are then taken into account while searching for the K nearest neighbors in the database of fingerpri...More

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