Combination of RSS localization and ToF ranging for increasing positioning accuracy indoors

In most cases indoor local positioning algorithms are not effective enough. RSS-based methods are very sensitive to variations in physical environment dependent on relative positions of furniture, doors, human bodies, etc. The results of ToF-based ranging in closed areas always include additional NLOS-component. A method of combination of both RSS and ToF approaches is described. Results of conducted indoor experiments confirmed that the accuracy of position calculation significantly increased.

[1]  Paul J.M. Havinga,et al.  Wireless Sensor Networks and Beyond: A Case Study on Transport and Logistics , 2005 .

[2]  Christof Röhrig,et al.  Tracking of transport vehicles for warehouse management using a wireless sensor network , 2008, 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[3]  Montse Nájar,et al.  Unscented Kalman Filter for location in Non-Line-Of-Sight , 2006, 2006 14th European Signal Processing Conference.

[4]  Richard P. Martin,et al.  Empirical Evaluation of the Limits on Localization Using Signal Strength , 2009, 2009 6th Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks.

[5]  Hiroyuki Tsuji,et al.  Mobile location estimator with NLOS mitigation using Kalman filtering , 2003, 2003 IEEE Wireless Communications and Networking, 2003. WCNC 2003..

[6]  Christof Röhrig,et al.  Indoor location tracking in non-line-of-sight environments using a IEEE 802.15.4a wireless network , 2009, 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[7]  Hamid Mehmood,et al.  Indoor Positioning System Using Artificial Neural Network , 2010 .

[8]  R.L. Moses,et al.  Locating the nodes: cooperative localization in wireless sensor networks , 2005, IEEE Signal Processing Magazine.

[9]  Richard P. Martin,et al.  The limits of localization using signal strength: a comparative study , 2004, 2004 First Annual IEEE Communications Society Conference on Sensor and Ad Hoc Communications and Networks, 2004. IEEE SECON 2004..