An Indoor Positioning Realisation for GSM using Fingerprinting and kNN

Abstract

Positioning in public land mobile networks has become increasingly popular over the past years with the development of more sophisticated mobile equipment and standards. New services which rely on location information have been developed, such as emergency call localization, navigation, location sensitive commercials/ billing, etc. This paper investigates one practical realisation of an indoor positioning model for GSM (Global System for Mobile Communications) networks, based on the received signal strength (RSS) and fingerprinting method. The achieved results are well within international localization accuracy requirements for emergency services, confirming great potential of the approach.

Keywords

• cellular networks
• Euclidean distance
• fingerprint
• location based services
• Nearest Neighbour
• positioning
• received signal strength
• reference points