Design of an adaptive positioning system based on WiFi radio signals

Computer Communications

Volumn 32, Issue 7-10, 2009, Pages 1245-1254

  Chiou, Yih Shyh ^a   Wang, Chin Liang ^a   Yeh, Sheng Cheng ^b   Su, Ming Yang ^b  

^a NATIONAL TSING HUA UNIVERSITY   (Taiwan)

^b MING CHUAN UNIVERSITY   (Taiwan)

Author keywords

Kalman filtering; RADAR; Radio propagation modeling; Signal to noise ratio; WiFi

Indexed keywords

ADAPTIVE POSITIONING; ALIASING; DYNAMIC ENVIRONMENTS; EMPIRICAL METHOD; IEEE 802.11B; KALMAN FILTERING; LOCATION-BASED SERVICES; MOBILE TERMINAL; NUMERICAL SIMULATION; OBSERVATION INFORMATION; ON-LINE CALIBRATION; PERVASIVE COMPUTING; POSITIONING ERROR; POSITIONING METHODS; RADIO PROPAGATION MODELING; RADIO SIGNALS; REFERENCE POINTS; SAMPLING TIME; SIGNAL SPACES; TRACKING METHOD; WIRELESS NETWORKING;

ACOUSTIC INTENSITY; CONTROL THEORY; KALMAN FILTERS; LOCATION; MAGNETIC STORAGE; RADAR; SIGNAL TO NOISE RATIO; STANDARDS; UBIQUITOUS COMPUTING; WI-FI; WIRELESS NETWORKS; WIRELESS TELECOMMUNICATION SYSTEMS;

ADAPTIVE ALGORITHMS;

EID: 65649130452     PISSN: 01403664     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.comcom.2009.04.003     Document Type: Article

References (28)

1. Vaughan-Nichols S.J. Will mobile computing's future be location, location, location?. IEEE Comput. Mag. 42 (2009) 14-17
2. P. Bellavista, A. Kupper, S. Helal, Location-based services: back to the future, in: Proceedings of the IEEE Pervasiv Computing 2003, vol. 7, April-June 2008, pp. 85-89.
3. Yoichi Morales, Takash Tsubouchi, GPS moving performance on open sky and forested paths, in: Proceedings of the IEEE IRSJ 2007, vol. 7, October-November 2007, pp. 3180-3185.
4. Pahlavan K., Li X., and Makela J.P. Indoor geolocation science and technology. IEEE Commun. Mag. 40 (2002) 112-118
5. I.K. Adusei, K. Kyamakya, K. Jobmann, Mobile positioning technologies in cellular networks: an evaluation of their performance metrics, in: Proceedings of the MILCOM 2002, vol. 2, October 2002, pp. 1239-1244.
6. P. Bahl, V.N. Padmanabhan, RADAR: an in-building RF-based user location and tracking system, in: Proceedings of the IEEE INFOCOM 2000, vol. 2, March 2000, pp. 775-784.
7. P. Bahl, V.N. Padmanabhan, A. Balachandran, Enhancements to the RADAR User Location and Tracking System, Technical Report, MSR-TR-200-12, Microsoft Research, February 2000.
8. C.-L. Wang, Y.-S. Chiou, S.-C. Yeh, An indoor location scheme based on wireless local area networks, in: Proceedings of the IEEE CCNC2005, January 2005, pp. 602-604.
9. K. Kaemarungsi, P. Krishnamurthy, Modeling of indoor positioning systems based on location fingerprinting, in: Proceedings of the IEEE INFOCOM 2004, March 2004.
10. P. Prasithsangaree, P. Krishnamurthy, P.K. Chrysanthis, On indoor position location with wireless LANs, in: Proceedings of the IEEE PIMRC 2002, vol. 2, September 2002, pp. 720-724.
11. Ekahau positioning engine. Available from: .
12. C.-L. Wang, Y.-S. Chiou, S.-C. Yeh, A location algorithm based on radio propagation modeling for indoor wireless local area networks, in: Proceedings of the IEEE VTC2005-Spring, vol. 5, May/June 2005, pp. 2830-2834.
13. C.-L. Wang, Y.-S. Chiou, An adaptive positioning scheme based on radio propagation modeling for indoor WLANs, in: Proceedings of the IEEE VTC2006-Spring, vol. 6, May 2006, pp. 2676-2680.
14. P. Krishnan, A.S. Krishnakumar, W.H. Ju, C. Mallows, S. Ganu, A system for LEASE: location estimation assisted by stationary emitters for indoor RF wireless networks, in: Proceedings of the IEEE INFOCOM 2004, March 2004.
15. J. Yin, Q. Yang, L. Ni, Adaptive temporal radio maps for indoor location estimation, in: Proceedings of the PerCom 2005, March 2005, pp. 85-94.
16. Y.-C. Chen, J.-R. Chiang, H.-H. Chu, P. Huang, A.W. Tsui, Sensor-assisted Wi-Fi indoor location system for adapting to environmental dynamics, in: Proceedings of the ACM/IEEE MSWiM 2005, October 2005.
17. R.K. K, Y.A Powar, V. Apte, Improving accuracy of wireless Lan based location determination system using Kalman filter and multiple observers. Available from: .
18. B.L. Le, K. Ahmed, H. Tsuji, Mobile location estimator with NLOS mitigation using Kalman filtering, in: Proceedings of the WCNC 2003, vol. 3, March 2003, pp. 1969-1973.
19. Seidel S.Y., and Rappaport T.S. 914 MHz path loss prediction models for indoor wireless communications in multifloored buildings. IEEE Trans. Antenna Propagat. 40 2 (1992) 207-217
20. Saunders S.R. Antennas and Propagation for Wireless Communication Systems (1999), John Wiley & Sons, Chichester
21. Rappaport T.S. Wireless Communications: Principles and Practice (1996), Prentice Hall PTR, New Jersey
22. E. Stansfield, Kalman filter tutorial, in: Proceedings of the ASPCM, March 2001.
23. Brookner E. Tracking and Kalman Filtering Made Easy (1998), John Wiley & Sons, New York
24. Stutzman W.L., and Thiele G.A. Antenna Theory and Design (1998), John Wiley & Sons, New York
25. J. Small, A. Smailagic, D.P. Siewiorek, Determining user location for context aware computing through the use of a wireless LAN infrastructure. Available from: .
26. Hills A., Schlegel J., and Jenkins B. Estimating signal strengths in the design of an indoor wireless network. IEEE Trans. Wireless Commun. 3 (2004) 17-19
27. P. Tao, A. Rudys, A.M. Ladd, D.S. Wallach, Wireless LAN location-sensing for security applications, in: Proceedings of the ACM Workshop on WISE, September 2003.
28. Y.-S. Chiou, C.-L. Wang, S.-C. Yeh, An adaptive location estimator based on Kalman filtering for dynamic indoor environments, in: Proceedings of the IEEE VTC2006-Fall, September 2006, pp. 1-5.