Commenced in January 2007
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Edition: International
Paper Count: 30174
Denoising by Spatial Domain Averaging for Wireless Local Area Network Terminal Localization

Authors: Diego Felix, Eugene Hyun, Michael McGuire, Mihai Sima

Abstract:

Terminal localization for indoor Wireless Local Area Networks (WLANs) is critical for the deployment of location-aware computing inside of buildings. A major challenge is obtaining high localization accuracy in presence of fluctuations of the received signal strength (RSS) measurements caused by multipath fading. This paper focuses on reducing the effect of the distance-varying noise by spatial filtering of the measured RSS. Two different survey point geometries are tested with the noise reduction technique: survey points arranged in sets of clusters and survey points uniformly distributed over the network area. The results show that the location accuracy improves by 16% when the filter is used and by 18% when the filter is applied to a clustered survey set as opposed to a straight-line survey set. The estimated locations are within 2 m of the true location, which indicates that clustering the survey points provides better localization accuracy due to superior noise removal.

Keywords: Position measurement, Wireless LAN, Radio navigation, Filtering

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1329370

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References:


[1] H. Harroud, M. Ahmed, and A. Karmouch, "Policy-driven personalized multimedia services for mobile users," IEEE Trans. Mobile Comput., vol. 2, no. 1, pp. 16-24, January-March 2003.
[2] C. Patterson, R. Muntz, and C. Pancake, "Challenges in location-aware computing," IEEE Pervasive Comput., vol. 2, no. 2, pp. 80-89, April- June 2003.
[3] M. Rodriguez, J. Favela, E. Martinez, and M. Munoz, "Location-aware access to hospital information and services," IEEE Transactions on Information Technology in Biomedicine, vol. 8, no. 4, pp. 448-455, December 2004.
[4] T. Kerr, "A critical perspective on some aspects of gps development and use," Proc. AIAA/IEEE Digital Avionics Systems Conference, vol. 2, pp. 9.4-9-9.4-20, October 1997.
[5] G. Dedes and A. Dempster, "Indoor GPS positioning - challenges and opportunities," in Proc. IEEE Vehicular Technology Conf., September 2005, pp. 412-415.
[6] Cisco Systems, Inc., "Cisco location solution overview," May 2007, accessed: September 2009.
[Online]. Available: http://www.cisco.com/en/US/solutions/collateral/ns340/ns394/ ns348/ns753/net brochure0900aecd8064fe9d.pdf
[7] P. Bahl and V. Padmanabhan, "RADAR: An in-building RF-based user location and tracking system," in Proc. IEEE Conf. Computer Comm. (INFOCOM), vol. 2, March 2000, pp. 775-784.
[8] C.-D. Wang, M. Gao, and X.-F. Wang, "An 802.11 based location-aware computing: Intelligent Guide System," in International Conference on Communications and Networking in China, 2006. ChinaCom -06, October 2006, pp. 1-5.
[9] M. Youssef and A. Agrawala, "The Horus WLAN location determination system," in International Conference on Mobile Systems, Applications, and Services (MobiSys), June 2005, pp. 205-218.
[10] A. Kushki, K. Plataniotis, and A. Venetsanopoulos, "Kernel-based positioning in wireless local area networks," IEEE Trans. Mobile Comput., vol. 6, no. 6, pp. 689-705, June 2007.
[11] J. Yin, Q. Yang, and L. Ni, "Learning adaptive temporal radio maps for signal-strength-based location estimation," IEEE Trans. Mobile Comput., vol. 7, pp. 869-883, July 2008.
[12] A. Nafarieh and J. How, "A testbed for localizing Wireless LAN devices using received signal strength," in 6th Annual Communication Networks and Services Research Conference, May 2008, pp. 481-487.
[13] M. McGuire and K. Plataniotis, "Estimating position of mobile terminals from path loss measurements with survey data," Wireless Communications and Mobile Computing, vol. 3, no. 1, pp. 51-62, February 2003.
[14] X. Chai and Q. Yang, "Reducing the callibration effort for probabilistic indoor location estimation," IEEE Transactions on Mobile Computing, vol. 6, no. 6, pp. 649-662, June 2007.
[15] M. Youssef, M. Abdallah, and A. Agrawala, "Multivariate analysis for probabilistic WLAN location determination systems," in Proc. International Conference on Mobile and Ubiquitous Systems: Networking and Services: MobiQuitous-05, July 2005, pp. 353-362.
[16] A. Sayed, A. Tarighat, and N. Khajehnouri, "Network-based wireless location: challenges faced in developing techniques for accurate wireless location information," IEEE Signal Processing Mag., vol. 22, no. 4, pp. 24-40, July 2005.
[17] P. Bergamo and G. Mazzini, "Localization in sensor networks with fading and mobility," Pervasive Computing and Commun., vol. 2, pp. 750-754, September 2002.
[18] N. Yousef, A. Sayed, and L. Jalloul, "Robust wireless location over fading channels," IEEE Trans. Veh. Technol., vol. 52, no. 1, pp. 117- 126, January 2003.
[19] G. Sun, J. Chen, W. Guo, and K. Liu, "Signal processing techniques in network-aided positioning: a survey of state-of-the-art positioning designs," IEEE Signal Processing Mag., vol. 22, no. 4, pp. 12-23, July 2005.
[20] J. Parsons, The Mobile Radio Propagation Channel (2nd ed.). West Sussex, England: John Wiley & Sons, Inc., 2000.
[21] R. Steele, Mobile Radio Communications. IEEE Press, 1992.
[22] N. Priyantha, "The Cricket indoor location system," Ph.D. dissertation, Masachusetts Institute of Technology, June 2005.
[23] E. Hyun, M. McGuire, and M. Sima, "Radloco: A rapid and low cost indoor location-sensing system," in Proc. International Conference on Communications and Networking in China (Chinacom), August 2008, pp. 630-634.
[24] A. Krishnakumar and P. Krishnan, "On the accuracy of signal strengthbased estimation techniques," in INFOCOM 2005. 24th Annual Joint Conference of the IEEE Computer and Communications Societies. Proceedings IEEE, vol. 1, March 2005, pp. 642-650 vol. 1.
[25] H. Lim, L.-C. Kung, J. C. Hou, and H. Luo, "Zero-configuration, robust indoor localization: Theory and experimentation," in INFOCOM 2006. 25th IEEE International Conference on Computer Communications. Proceedings, April 2006, pp. 1-12.
[26] M. Youssef and A. Agrawala, "Handling samples correlation in the Horus system," in INFOCOM 2004. Twenty-third AnnualJoint Conference of the IEEE Computer and Communications Societies, vol. 2, March 2004, pp. 1023-1031 vol.2.
[27] R. Battiti, T. Nhat, and A. Villani, "Location-aware computing: a neural network model for determining location in wireless LANs," Department of Information and Communication Technology, University of Trento, Italy, Tech. Rep. DIT-02-0083, 2002.
[28] S.-H. Fang and T.-N. Lin, "Robust wireless lan location fingerprinting by svd-based noise reduction," in Communications, Control and Signal Processing, 2008. ISCCSP 2008. 3rd International Symposium on, March 2008, pp. 295-298.
[29] M. McGuire, K. Plataniotis, and A. Venetsanopoulos, "Location of mobile terminals using time measurements and survey points," IEEE Trans. Veh. Technol., vol. 52, no. 4, pp. 999-1011, July 2003.
[30] S. Ahonen and H. Laitinen, "Database correlation method for UMTS location," in Proc. Vehicular Technology Conference, vol. 4, April 2003, pp. 2696-2700.
[31] S. Haykin, Adaptive Filter Theory, 4th ed. Upper Saddle River, New Jersey: Prentice Hall, Inc., 2002.
[32] S. Vaseghi, Advanced Digital Signal Processing and Noise Reduction, 2nd ed. John Wiley & Sons, 2000.
[33] M. Gudmundson, "Correlation model for shadow fading in mobile radio systems," Electon. Lett., vol. 27, pp. 2145-2146, November 1991.
[34] R. O. Duda, P. E. Hart, and D. G. Stork, Pattern Classification, 2nd ed. New York, NY: John Wiley & Sons, Inc., 2001.
[35] J. M. Mendel, Lessons in Estimation Theory for Signal Processing, Communications, and Control, 2nd ed. Englewood Cliffs, NJ: Prentice- Hall, 1995.
[36] D. Scott, Multivariate Density Estimation: Theory, Practice, and Visualization, ser. Wiley Series in Probability and Statistics. Wiley- Interscience, September 1992.
[37] B. W. Silverman, Density estimation for statistics and data analysis, ser. Monographs on Statistics and Applied Probability. London: Chapman and Hall, 1986.
[38] F. Ramos, B. Upcroft, S. Kumar, and H. Durrant-Whyte, "A Bayesian approach for place recognition," in ICJAI Workshop Reasoning with Uncertainty in Robotics, Edinburgh, Scotland, July 2005.
[39] Milner M., available online at: http://www.netstumbler.com/. Accessed September 2009.