Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 30184
WLAN Positioning Based on Joint TOA and RSS Characteristics

Authors: Peerapong Uthansakul, Monthippa Uthansakul

Abstract:

WLAN Positioning has been presented by many approaches in literatures using the characteristics of Received Signal Strength (RSS), Time of Arrival (TOA) or Time Difference of Arrival (TDOA), Angle of Arrival (AOA) and cell ID. Among these, RSS approach is the simplest method to implement because there is no need of modification on both access points and client devices whereas its accuracy is terrible due to physical environments. For TOA or TDOA approach, the accuracy is quite acceptable but most researches have to modify either software or hardware on existing WLAN infrastructure. The scales of modifications are made on only access card up to the changes in protocol of WLAN. Hence, it is an unattractive approach to use TOA or TDOA for positioning system. In this paper, the new concept of merging both RSS and TOA positioning techniques is proposed. In addition, the method to achieve TOA characteristic for positioning WLAN user without any extra modification necessarily appended in the existing system is presented. The measurement results confirm that the proposed technique using both RSS and TOA characteristics provides better accuracy than using only either RSS or TOA approach.

Keywords: Received signal strength, Time of arrival, Positioning system, WLAN, Measurement.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1060523

Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1385

References:


[1] P. Enge and P. Misra, "Scanning Special Issue/Technology on Global Positioning System," Proc. IEEE, vol. 87, no. 1, 1999.
[2] M. McGuire, K. Plataniotis, and A. Venetsanopoulos, "Data Fusion of Power and Time Measurements for Mobile Terminal Location," IEEE Trans. Mobile Computing, vol. 4, no. 2, pp. 142-153, Mar.-Apr. 2005.
[3] T. Roos, P. Myllymaki, and H. Tirri, "A Statistical Modeling Approach to Location Estimation," IEEE Trans. Mobile Computing, vol. 1, no. 1, pp. 59-69, Jan.-Mar. 2002.
[4] G. Sun, J. Chen, W. Guo, and K.R. Liu, "Signal Processing Techniques in Network-Aided Positioning: A Survey of State-ofthe-Art Positioning Designs," IEEE Signal Processing Magazine, vol. 22, no. 4, pp. 12-23, 2005.
[5] M. Hazas, J. Scott, and J. Krumm, "Location-Aware Computing Comes of Age," Computer, vol. 37, no. 2, pp. 95-97, Feb. 2004.
[6] J. Hightower and G. Borriello, "Location Systems for Ubiquitous Computing," Computer, vol. 34, no. 8, pp. 57-66, Aug. 2001.
[7] A. Harter and A. Hopper, "A Distributed Location System for the Active Office," IEEE Network, vol. 8, no. 1, pp. 62-70, 1994.
[8] M. Hazas and A. Hopper, "Broadband Ultrasonic Location Systems for Improved Indoor Positioning," IEEE Trans. Mobile Computing, vol. 5, no. 5, pp. 536-547, May 2006.
[9] N.B. Priyantha, A. Chakraborty, and H. Balakrishnan, "The Cricket Location-Support System," Proc. MobiCom, pp. 32-43, 2000.
[10] M. Youssef and K. Agrawala, "Continuous Space Estimation for WLAN Location Determination Systems," Proc. IEEE 13th Int-l Conf. Computer Comm. and Networks, 2004.
[11] P. Bahl and V. Padmanabhan, "RADAR: An In-Building RF-Based User Location and Tracking System," Proc. INFOCOM, vol. 2, pp. 775-784, 2000.
[12] K. Plataniotis and C. Regazzoni, "Visual-Centric Surveillance Networks and Services," IEEE Signal Processing Magazine, special issue on video and signal processing for surveillance networks and services, vol. 22, no. 2, 2005.
[13] R. Yamasaki, A. Ogino, T. Tamaki, T. Uta, N. Matsuzawa, and T. Kato, ÔÇÿTDOA location system for IEEE 802.11b WLAN," IEEE Wireless Communications and Networking Conference, vol 4, 13-17 March 2005, pp.2338 - 2343.
[14] S.A. Golden, and S.S. Bateman, "Sensor Measurements for Wi-Fi Location with Emphasis on Time-of-Arrival Ranging," IEEE Transactions on Mobile Computing, vol 6, no 10, pp.1185 - 1198, Oct. 2007.
[15] M. Ciurana, S. Cugno, and F. Barcelo-Arroyo, "WLAN indoor positioning based on TOA with two reference points," WPNC '07, 22-22 March 2007, pp. 23 - 28.
[16] F. Izquierdo, M. Ciurana, F. Barcelo, J. Paradells, and E. Zola, "Performance evaluation of a TOA-based trilateration method to locate terminals in WLAN," 1st International Symposium on Wireless Pervasive Computing, 2006, 16-18 Jan. 2006, pp. 1 - 6.
[17] M. Yousief, "Horus: A WLAN-Based Indoor Location Determination system," PhD dissertation, Univ. of Maryland, 2004.
[18] T.S. Rappaport, Wireless Communications, Prentice Hall, 2nd,2002.
[19] P. Raptis, V. Vitsas, K. Paparrizos, P. Chazimisios, and A.C. Boucouvalas, "Packet Delay Distribution of IEEE 802.11 Distributed Coordination Function," IEEE WoWMoM, pp. 299 - 304, 2005.