- Volume 19 Issue 6
GPS is the representative positioning technology for providing the location information. This technique has the disadvantage that does not operate in the shadow areas, such as urban or dense forest and the interior. This paper proposes a hybrid indoor positioning algorithm, which estimates a more accurate location of the terminal using strength of the Wi-Fi signal from the indoor AP. To determine the location of the user, we establish the most appropriate path loss model for the measurement environment. by using the RSSI value measured in a variety of environment such as building structure, person, distance, etc. The path loss exponent obtained by the path loss model is changed according to the environment. REKF, PF estimate the position of the terminal by using measured value from the AP with path loss exponent. For more accurate position estimation, we select positioning system by the value of threshold measured by experiments rather than a single positioning system. Experimental results using the proposed hybrid algorithm show that the performance is improved by about 17% than the conventional single positioning method.
GPS;Hybrid;Indoor positioning system;Kalman filter;Particle filter
- V. Patmanathan, Area localization using WLAN, Electrical Engineering, Master of Science Thesis Stockholm, Sweden, SE, 2006.
- J. Hightower and G. Borriello, “Location system for ubiquitous computing,” IEEE Computer Society, Vol. 34, No. 8, pp. 57-66, Aug. 2001.
- A. Ward, A. Jones and A. Hopper, "A new location technique for the active office," IEEE Personal Communication Vol. 4, No. 5, pp. 42-47, Oct. 1997.
- M. Brunato and K. Csaba, "Transparent location fingerprinting for wireless services," in Proceedings of Med-Hoc-Net, Mediterranean Workshop on Ad-hoc Networks, Baia Chia: Cagliari, pp. 2-3, 2002.
- N. Patwari, J. Ash, N. Joshua, S. Kyperountas, A. O. Hero, R. L. Moses and N. S. Correal, "Locating the nodes: cooperative localization in wireless sensor networks," IEEE Signal Processing Magazine, Vol.22, No.4, pp. 54-69, Jul. 2005. https://doi.org/10.1109/MSP.2005.1458287
- F. Gustafsson and F. Gunnarsson, "Mobile positioning using wireless networks: possibilities and fundamental limitations based on available wireless network measurements," IEEE Signal Processing Magazine, Vol.22, No.4, pp. 41-53, Jul. 2005. https://doi.org/10.1109/MSP.2005.1458284
- P. Bahl and V. N. Padmanabhan, "Radar: an in-building rf-based user location and tracking system," in Proceedings of Nineteenth Annual Joint Conference of the IEEE Computer and Communications Societies, Tel Aviv: Israel, Vol. 2, pp. 775-784, 2000.
- T. S. Kim, Wlan-based Indoor Localization with APs as reference points, Ph.D. dissertation, University of Seoul, Korea, 2010.
- Y. Wang and X. Jia, "An indoors wireless positioning system based on wireless local area network infrastructure," in The 6th International Symposium on Satellite Navigation Technology Including Mobile Positioning & Location Service, Melbourne: Australia, pp. 5-11, Jul, 2003.
- J. Ting, A. D'Souza and S. Schaal, "Automatic outlier detection: a bayesian approach," in 2007 IEEE International Conference on Robotics and Automation, Angelicum University Roma: Italy, Vol.10, No.14, pp.2489-2494, Apr. 2007.
- B. Le, K. Ahmed and H. Tsuji, "Mobile location estimator with NLOS mitigation using Kalman filtering," IEEE Wireless Communications and Networking, Vol.3, pp.1969-1973, 2003.
Supported by : 서울과학기술대학교