Wi-Fi Fingerprint Localization Using RSSI-Probability Radio Map and AP Weight Clustering

Peng Tang
2016 Journal of Advances in Computer Networks  
In this paper, we proposed a RSSI-Probability transformation algorithm for radio map construction that improves positioning accuracy and AP (Access Point) weight clustering that reduces the computational burden. To verify the performance, we developed a positioning system called LocNeedle. The experimental results show that our algorithm achieves good localization accuracy and reduces computational burden of online phase. Index Terms-Wi-Fi fingerprint localization, RSSI probability distribution, AP weight clustering.
doi:10.18178/jacn.2016.4.2.215 fatcat:a6c3dlroybhrvgbsn4mqnj6vpq