Positioning with standart communication metrics without initial position information

Indoor positioning has gained more importance with the recent emerging technologies including Internet of things or mobile applications using the location information of the client. The main of this work is an indoor positioning method to be used in swarm robotic applications using Bluetooth or Wi-Fi standard metrics. While the main work includes fusion of several location estimation methods by setting a proper weight to each method, this paper presents the work on estimating the location by using TDoA and RSSI parameters.

[1]  Shinsuke Hara,et al.  Experimental Performance Comparison of RSSI- and TDOA-Based Location Estimation Methods , 2008, VTC Spring 2008 - IEEE Vehicular Technology Conference.

[2]  Ramón F. Brena,et al.  Wifi bluetooth based combined positioning algorithm , 2012 .

[3]  Sarah Bergbreiter,et al.  Distance sensing for mini-robots: RSSI vs. TDOA , 2011, 2011 IEEE International Symposium of Circuits and Systems (ISCAS).

[4]  Tamás Kovács,et al.  A multi-robot exploration algorithm based on a static Bluetooth communication chain , 2011, Robotics Auton. Syst..

[5]  Jing Liu,et al.  Survey of Wireless Indoor Positioning Techniques and Systems , 2007, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).

[6]  G. Oriolo,et al.  Robotics: Modelling, Planning and Control , 2008 .

[7]  Lei Yu,et al.  Comparison of Hybrid Localization Schemes using RSSI, TOA, and TDOA , 2011, EW.

[8]  A. F. T. Winfield,et al.  The application of wireless local area network technology to the control of mobile robots , 2000, Microprocess. Microsystems.