Evaluation of Indoor Localization with Range-Free Weighted Localization Algorithm
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Abstract
Currently, Ultra-wide band has important in the role of the short-range communication, especially in, an indoor localization. However, there are more factors of the indoor environment caused to reduce the precise localization and also increase the error of distance. The presents a new weighted to evaluate the UWB technology for the indoor localization. The proposed methods are using received signal strength indicator (RSSI) to compute the error of distance based on weighting algorithms. Whereby the weight centroid localizer (WCL) is proposed in this paper. As the results, the cumulative distribution function (CDF) probability indicates the error of distance as properly, and this method can help to increase the precision of range based localization method in an application of indoor environment.
