WIPS: the WiSARD Indoor Positioning System

In this paper, we present a WiSARD-based system facing the problem of Indoor Positioning (IP) by taking advantage of pervasively available infrastructures (WiFi Access Points { AP). The goal is to develop a system to be used to position users in indoor environments, such as: museums, malls, factories, oshore platforms etc. Based on the ngerprint approach, we show how the proposed weightless neural system provides very good results in terms of performance and positioning resolution. Both the approach to the problem and the system will be presented through two correlated experiments.

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