Power delay profile based indoor fingerprinting localization system

Received signal strength (RSS) based fingerprinting localization technique has been researched widely for the indoor location based services (LBSs) in recent years. However, the accuracy performance suffers from the time-varying characteristic of RSS due to the multi-path and shadow effect. In this paper, we propose a fingerprinting positioning system based on power delay profile (PDP). The system extracts the PDP of the multi-paths from the cross-correlation result between the received signal and the reference signal. In the offline phase of the system, a PDP fingerprint database is constructed via calibrating the PDP of each access point (AP) at each reference point (RP). In the online phase, a PDP similarity matching algorithm is designed to mitigate the error caused by the time-variation of RSS, and further to obtain the final location estimation. Numerical experimental results show that the proposed system can obtain higher localization accuracy than other existing positioning systems.