Mixture Database Method in Area Estimation by Finger Printing

This contribution describe "area estimation" using Finger printing for indoor localization. A method for updating DBs with user-acquired AP information is necessary for the system. There is a problem of lowering the estimation accuracy due to the bias of the updated DBs. To solve this problem, we proposed a method to create a large distribution by mixing multiple databases.