Reorganizing fingerprint information using intersection technique for RFID-based indoor localization system

Abstract

Fingerprint information in a database is very important for indoor localization. A good database can provide good estimation results. Meanwhile, the difficult of providing a good database is the complexity of information recording process. The estimated location of the target can be obtained using the fingerprint information in the database and the observed information. In this paper, the reorganization of fingerprint information in the database is considered. Since the process of recording is complex and time consuming, the solution of this problem is using intersection technique. This technique creates a new information instead of fingerprint information in real recording process. The results shows that the proposed technique has better location estimation compared with the old database since the average error distance is less than the gap between tags (fingerprint locations).