Paper Info
Title
Asynchronous Tracking System Based on Multi-Path Profile Fingerprinting and Particle Filter
Abstract
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.
Year
DOI
Venue
2016
10.1109/VTCFall.2016.7880913
2016 IEEE 84th Vehicular Technology Conference (VTC-Fall)
Keywords
Field
DocType
asynchronous tracking system,multipath profile fingerprinting,particle filter,indoor positioning technique,software defined radio platform,received signal strength information,map information,inertial measurement unit
Synchronization,Fingerprint recognition,Software-defined radio,Computer science,Particle filter,Tracking system,Real-time computing,Inertial measurement unit,RSS,Positioning system
Conference
ISSN
ISBN
Citations 
2577-2465
978-1-5090-1702-7
0
PageRank 
References 
Authors
0.34
9
4
Name
Order
Citations
PageRank
Genming Ding1303.09
Pei Chen28615.51
Jun Tian335.54
Qian Zhao4215.80