Updating method using mixture database in area estimation by finger printing

Abstract

In our laboratory, we study “area estimation” by Finger Printing for indoor commercial facilities and buildings. We study a method for updating DBs with user-acquired AP information. There is a problem of lowering the estimation accuracy due to the bias of the updated DBs. In order to solve this problem, we proposed a method to create a large distribution by mixing multiple databases.