Mobile service providers keep on seeking distinguishable value-added services to attract customers and to increase profits. Location based services have been recognised to be one of the most powerful ways of delivering personalised services to subscribers. This commercial motive, together with wireless emergency services, has aroused great scientific interest in developing novel mobile positioning methods. The extended Database Correlation Method (DCM) for mobile positioning is based on matching the handset's current signal information fingerprint to the reference fingerprints. Development and usage of this method requires collecting of large amounts of signal fingerprint data. This strongly favours development of efficient tool for multi-network fingerprint measurement. In this paper, we introduce our portable measurement and analysis software. It is suitable both for collecting signal fingerprint data simultaneously from several networks and for verifying the results of novel mobile positioning methods out on the field. We also present the results of the field trial, which was conducted both to verify the applicability of the measurement software and to evaluate the positioning accuracy of the extended Data Correlation Method in GSM&WLAN multi-system environment. The results of the trial prove the implemented measurement tool well applicable to the intended purpose. We also state that by utilising WLAN fingerprints in addition to GSM ones, the mobile positioning accuracy can be notably increased.
|Title of host publication||15th IST Mobile and Wireless Summit|
|Place of Publication||Athens|
|Publisher||National Technical University of Athens|
|Number of pages||5|
|Publication status||Published - 2006|
|MoE publication type||Not Eligible|
|Event||15th IST Mobile and Wireless Communications Summit - Myconos, Greece|
Duration: 4 Jun 2006 → 8 Jun 2006
Conference number: 15
|Conference||15th IST Mobile and Wireless Communications Summit|
|Period||4/06/06 → 8/06/06|
- mobile positioning
- database correlation
Lattunen, A., Pajunen, J., Kemppi, P., & Li, Y. (2006). Measurement tool for multi-network fingerprint-based positioning. In 15th IST Mobile and Wireless Summit National Technical University of Athens.