Correction of the RTT and Estimation of the Number of Walls Using the Regression Analysis for an Indoor Positioning Method

In this study, we investigate indoor location estimation methods using WLANs. Recently, the use of RTT in WLANs has been implemented in IEEE802.11mc. Because the RTT can calculate the distance between the access point (AP) and user more accurately than the received signal strength (RSS), it is expected to improve the accuracy of indoor location estimation using MLAT methods. However, for floors with many rooms, the accuracy of MLAT is still insufficient even with the RTT. Therefore, this paper proposes RTT correction using the RSS and an application of the RTT and RSS wall number estimation to estimate the location.