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Implementation of Dynamic System Approach for Radio Location Fingerprinting in WLANS

International Journal of Computer Applications
© 2012 by IJCA Journal
Volume 55 - Number 6
Year of Publication: 2012
K. Divya
M. Anusha
S. Anusha

K Divya, M Anusha and S Anusha. Article: Implementation of Dynamic System Approach for Radio Location Fingerprinting in WLANS. International Journal of Computer Applications 55(6):7-11, October 2012. Full text available. BibTeX

	author = {K. Divya and M. Anusha and S. Anusha},
	title = {Article: Implementation of Dynamic System Approach for Radio Location Fingerprinting in WLANS},
	journal = {International Journal of Computer Applications},
	year = {2012},
	volume = {55},
	number = {6},
	pages = {7-11},
	month = {October},
	note = {Full text available}


Wireless indoor positioning systems have become very popular in recent years. These systems have been successfully used in many applications such as asset tracking and inventory management. Three typical location estimation schemes of triangulation, scene analysis, and proximity are analyzed. And also location fingerprinting in detail since it is used in most current system or solutions. This project focuses on the localization using Received Signal Strength (RSS) in dense multipath indoor environments. A dynamic system approach is proposed in the fingerprinting module, where the location is estimated from the state instead from RSS directly. The state is reconstructed from a temporal sequence of RSS samples by incorporating a proper memory structure based on Taken's embedded theory. Then, a more accurate state-location correlation is estimated because the impact of the temporal variation due to multipath is considered.


  • D. Munoz, F. Bouchereau, C. Vargas, and R. Enriquez-Caldera, Position Location Techniques and Applications. Academic Press, 2009.
  • S. Zafer, G. Sinan, and G. Ismail, Ultra-Wideband Positioning Systems: Theoretical Limits, Ranging Algorithms, and Protocols. Cambridge, 2008.
  • M. Kjærgaard, "A taxonomy for radio location fingerprinting," Lecture Notes Computer Science, vol. 4718, pp. 139–156, 2007.
  • S. -H. Fang, T. -N. Lin, and P. -C. Lin, "Location fingerprinting in a decorrelated space," IEEE Trans. Knowledge Data Eng. , vol. 20, no. 5, pp. 685–691, 2008.
  • V. Honkavirta, T. Perala, S. Ali-Loytty, and R. Piche, "A comparative survey of WLAN location fingerprinting methods," Positioning, Navigation Commun. , pp. 243–251, 2009.
  • J. J. Pan, J. T. Kwok, Q. Yang, and Y. Chen, "Multidimensional vector regression for accurate and low-cost location estimation in pervasive computing," IEEE Trans. Knowledge Data Eng. , vol. 18, no. 9, pp. 1181–1193, 2006.
  • S. -H. Fang and T. -N. Lin, "Indoor location system based on discriminant-adaptive neural network in IEEE 802. 11 environments," IEEE Trans. Knowledge Data Eng. , vol. 19, no. 11, pp. 1973–1978, 2008.
  • Y. Chen, J. Yin, X. Chai, and Q. Yang, "Power-efficient access-point selection for indoor location estimation," IEEE Trans. Knowledge Data Eng. , vol. 18, no. 7, pp. 877–888, 2006.
  • X. Chai and Q. Yang, "Reducing the calibration effort for probabilistic indoor location estimation," IEEE Trans. Mobile Comput. , vol. 6, no. 6, pp. 649–662, 2007.
  • K. Kaemarungsi and P. Krishnamurthy, "Properties of indoor received signal strength for WLAN location fingerprinting," Mobile Ubiquitous Syst. , Networking Services, pp. 14–23, 2004.
  • M. Youssef and A. Agrawala, "Handling samples correlation in the Horus system," in Proc. IEEE INFOCOM, 2004, pp. 1023–1031.
  • S. -P. Kuo and Y. -C. Tseng, "A scrambling method for fingerprint positioning based on temporal diversity and spatial dependency," IEEE Trans. Knowledge Data Eng. , vol. 20, no. 5, pp. 678–684, 2008.
  • S. -H. Fang, T. -N. Lin, and K. -C. Lee, "A novel algorithm for multipath fingerprinting in indoor WLAN environments," IEEE Trans. Wireless Commun. , vol. 7, no. 9, pp. 3579–3588, 2008.
  • T. Roos, P. Myllymaki, H. Tirri, P. Misikangas, and J. Sievanen, "A probabilistic approach to WLAN user location estimation," Wireless Inf. Networks, vol. 9, no. 3, pp. 155–164, 2002.
  • J. Yin, Q. Yang, and L. M. Ni, "Learning adaptive temporal radio maps for signal-strength-based location estimation," IEEE Trans. Mobile Comput. , vol. 7, pp. 869–883, July 2008.
  • M. Triki, D. Slock, V. Rigal, and P. Francois, "Mobile terminal positioning via power delay profile fingerprinting: reproducible validation simulations," in Proc. IEEE Veh. Technol. Conf. , 2006, pp. 1–5.
  • C. Nerguizian, C. Despins, and S. Affes, "Geolocation in mines with an impulse response fingerprinting technique and neural networks," IEEE Trans. Wireless Commun. , vol. 5, no. 3, pp. 603–611, 2006.
  • Z. li Wu, C. hung Li, J. -Y. Ng, and K. R. Leung, "Location estimation via support vector regression," IEEE Trans. Mobile Comput. , vol. 6, no. 3, pp. 311–321, 2007.
  • T. Wigren, "Adaptive enhanced cell-ID fingerprinting localization by clustering of precise position measurements," IEEE Trans. Veh. Technol. , vol. 56, no. 5, pp. 3199–3209, 2007.
  • M. Simic and P. Pejovic, "An algorithm for determining mobile station location based on space segmentation," IEEE Commun. Lett. , vol. 12, no. 7, pp. 499–501, 2008.
  • F. F. Gene, L. W. Michael, and P. Dave, Digital Control of Dynamic Systems. Boston: Addison-Wesley Longman, 1997.
  • F. Taken, "Detecting strange attractors in turbulence," vol. 898, pp. 366– 381. Springer-Verlag, 1981.
  • B. de Vries and J. C. Principe, "The gamma model—a new neural model for temporal processing," Neural Networks, vol. 5, pp. 565–576, 1992.
  • A. V. Oppenheim, R. W. Schafer, and J. R. Buck, Discrete-Time Signal Processing. Prentice-Hall, 1999.
  • T. Lin, B. Horne, P. Tino, and C. Giels, "Learning long-term dependencies in narx recurrent neural networks," IEEE Trans. Neural Networks, vol. 7, no. 6, pp. 1329–1338, 1996.
  • M. Youssef, A. Agrawala, and A. U. Shankar, "WLAN location determination via clustering and probability distributions," Pervasive Computing Commun. , pp. 143–150, 2003.
  • A. Kushki, K. N. Plataniotis, and A. N. Venetsanopoulos, "Kernelbased positioning in wireless local area networks," IEEE Trans. Mobile Comput. , vol. 6, no. 6, pp. 689–705, 2007.
  • M. S. Grewal and A. P. Andrews, Kalman Filtering: Theory and Practice Using MATLAB. Wiley-IEEE Press, 2008.