Abstract
This paper presents a kind of using Wi-Fi location fingerprint to locate the interior regions of the weighted Bayesian algorithm based on the strongest AP method. The algorithm locates the regions with the strongest AP signal by voting according to the distribution rule of the online data, and then uses the weighted Bayesian algorithm to locate. The experimental scene is a typical “aisle” interior region, through the data measured and algorithm matching. The results show that compared with the Bayesian algorithm, the weighted Bayesian algorithm based on the strongest AP method has higher positioning precision and accuracy.
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