Precise indoor localization using smart phones

We present an indoor localization application leveraging the sensing capabilities of current state of the art smart phones. To the best of our knowledge, our application is the first one to be implemented in smart phones and integrating both offline and online phases of fingerprinting, delivering an accuracy of up to 1.5 meters. In particular, we have studied the possibilities offered by WiFi radio, cellular communications radio, accelerometer and magnetometer, already embedded in smart phones, with the intention to build a multimodal solution for localization. We have also implemented a new approach for the statistical processing of radio signal strengths, showing that it can outperform existing deterministic techniques.

[1]  Deborah Estrin,et al.  Ambulation: A Tool for Monitoring Mobility Patterns over Time Using Mobile Phones , 2009, 2009 International Conference on Computational Science and Engineering.

[2]  Xiaoyan Li.  Ratio-based zero-profiling indoor localization , 2009, 2009 IEEE 6th International Conference on Mobile Adhoc and Sensor Systems.

[3]  Eyal de Lara,et al.  GSM indoor localization , 2007, Pervasive Mob. Comput..

[4]  Panarat Cherntanomwong,et al.  Empirical evaluation of RFID-based indoor localization with human body effect , 2009, 2009 15th Asia-Pacific Conference on Communications.

[5]  Carlo S. Regazzoni,et al.  A novel positioning system for static location estimation employing WLAN in indoor environment , 2004, 2004 IEEE 15th International Symposium on Personal, Indoor and Mobile Radio Communications (IEEE Cat. No.04TH8754).

[6]  Rong Chen,et al.  Research on Mobile Location Service Design Based on Android , 2009, 2009 5th International Conference on Wireless Communications, Networking and Mobile Computing.

[7]  Radha Poovendran,et al.  Secure Localization and Time Synchronization for Wireless Sensor and Ad Hoc Networks , 2006, Advances in Information Security.

[8]  Wolfgang Effelsberg,et al.  COMPASS: A probabilistic indoor positioning system based on 802.11 and digital compasses , 2006, WINTECH.

[9]  Stefan Edlich,et al.  A location-based notification- and visualization-system indicating social activities , 2009, Electronic Imaging.

[10]  Eyal de Lara,et al.  Accurate GSM Indoor Localization , 2005, UbiComp.

[11]  Peter Brida.  Geometric Algorithm for Received Signal Strength Based Mobile Positioning , 2005 .

[12]  A Min Tjoa,et al.  A Smart Indoor Navigation Solution Based on Building Information Model and Google Android , 2008, ICCHP.

[13]  Ashok K. Agrawala,et al.  Horus: a wlan-based indoor location determination system , 2004 .

[14]  V. Padmanabhan,et al.  Enhancements to the RADAR User Location and Tracking System , 2000 .

[15]  Angela Song-Ie Noh,et al.  Comparison of the Mechanisms of the Zigbee's Indoor Localization Algorithm , 2008, 2008 Ninth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing.

[16]  Andrew G. Dempster,et al.  Errors in determinstic wireless fingerprinting systems for localisation , 2008, 2008 3rd International Symposium on Wireless Pervasive Computing.

[17]  A. Roxin,et al.  Survey of Wireless Geolocation Techniques , 2007, 2007 IEEE Globecom Workshops.

[18]  Ching-Hsien Hsu,et al.  An Accelerometer Based Approach for Indoor Localization , 2009, 2009 Symposia and Workshops on Ubiquitous, Autonomic and Trusted Computing.

[19]  Hien Nguyen Van,et al.  Indoor Localization Using Multiple Wireless Technologies , 2007, 2007 IEEE Internatonal Conference on Mobile Adhoc and Sensor Systems.