Schemes to Reduce No Estimates and Database Update Errors for Finger Print Area Localization

We are investigating the finger print method using wireless LAN access points (APs) to estimate user location. We focused on the APs coincidence rate (APCR) and database update as a way to prevent the loss of estimation accuracy. The APCR is a method to prevent estimation errors by narrowing down the candidate estimation positions. However, depending on the conditions, there is an issue that causes of no estimates. Updating a database using user-measured data presents the issue of update errors. In this paper, we have proposed and verified these two issues.