Improving Accuracy of WLAN-Based Location Estimation by Recursive Estimation

We propose a method to improve the accuracy of WLAN-based location estimation, which is a convenient method after the preparation of a dense map of access points (APs) by such AP hunting methods as war-driving/walking. However, the density of APs cannot always be high. Rather, density remains so low that less than three APs are found even in urban areas. We propose recursive estimation methods, experimentally compare them to the existing method, and improved estimation accuracy from 41.6 to 31.1 meters in a low density area best case.