Asynchronous Tracking System Based on Multi-Path Profile Fingerprinting and Particle Filter

Indoor positioning technique has been attracting more and more attention in recent years. In this paper, we propose a multi-path profile fingerprinting localization system based on software defined radio (SDR) platform. The system initially calibrates the multi-path profile (MP) and received signal strength (RSS) information to construct a fingerprint database. In the online positioning phase, the terminal is firstly located into a coarse area via RSS pattern matching algorithm. Then, the system matches the multi-path profile fingerprint to obtain the fine location estimation. An improved particle filter technique based on map information is proposed to obtain the accurate trajectory. The system does not need any synchronization among the transceivers, and the motion model measured by inertial measurement unit (IMU) is also not necessary in the proposed filter. In addition, the proposed method can be easily implanted into existing WiFi based positioning system. Numerical results show that the proposed system can obtain better localization accuracy, and can reach up to 1- meter-level accuracy performance.