System and algorithms for accurate indoor tracking using low-cost hardware

In this paper we present a novel radio location system for indoor tracking and navigation. The system has been designed for applications such as emergency first responders where high accuracy is required, all nodes have only wireless connections, and the system must be able to be rapidly deployed. The application requirements are best satisfied using time-of-arrival based radio location, however the challenge is to do this at low cost. Specific issues addressed by the system include achieving frequency and time synchronization using low cost oscillators in each node and overcoming the variable propagation delay in the analog electronics from the use of low cost radio components, while operating in an environment characterized by strong multipath interference. Our approach has been to use low cost highly integrated electronic components and to use sophisticated signal processing to compensate for the limitations in the radio electronics. The system has been implemented and we demonstrate a median error of 0.15 m outdoors and 0.49 m in an indoor office environment with measurements performed through multiple walls.

[1]  M. Hedley,et al.  A comparison of cooperative localisation techniques for wireless mobile sensor networks , 2007, 2007 International Symposium on Communications and Information Technologies.

[2]  D. McCrady,et al.  Mobile ranging using low-accuracy clocks , 2000 .

[3]  Ebrahim Saberinia,et al.  Enhanced localization in wireless personal area networks , 2004, IEEE Global Telecommunications Conference, 2004. GLOBECOM '04..

[4]  Fredrik Gustafsson,et al.  Mobile Positioning Using Wireless Networks , 2005 .

[5]  C. Rizos,et al.  Method for yielding a database of location fingerprints in WLAN , 2005 .

[6]  Mark Hedley,et al.  Super-Resolution Time of Arrival for Indoor Localization , 2008, 2008 IEEE International Conference on Communications.

[7]  F. Gustafsson,et al.  Mobile positioning using wireless networks: possibilities and fundamental limitations based on available wireless network measurements , 2005, IEEE Signal Processing Magazine.

[8]  Erik G. Larsson,et al.  Cramer-Rao bound analysis of distributed positioning in sensor networks , 2004, IEEE Signal Processing Letters.

[9]  P. Ho,et al.  A platform for radio location research in Ad Hoc and sensor networks , 2007, 2007 International Symposium on Communications and Information Technologies.