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In this paper, in order to improve the accuracy of mobile user location estimation, we investigate a new approach based on path-loss algorithms with non-Bayesian data fusion based on Dempster-Shafer Theory (DST). Traditionally, Bayesian framework is used in Wireless Local Area Network (WLAN) positioning. Nevertheless, alternative approaches such as DST have also good potential in WLAN positioning,...
This paper focuses on the WLAN-based indoor location by taking into account the contribution of each hearable Access Point (AP) in the location estimation. Typically, in many indoor scenarios of interest for the future location services, such as malls, shopping centers, airports or other transit hubs, the amount of hearable APs is huge and it is important to find out whether some of these APs are...
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