Abstract
It is extremely important for pedestrian navigation and location-based services (LBS) that users of portable devices can quickly and accurately locate themselves wherever they might be. In this paper, we propose a novel hybrid approach for indoor and outdoor localization in urban area based on Enhanced Sequential Importance Resampling (Enhanced-SIR) Particle Filter (PF). The approach implements by gathering and processing signal strength information from Wi-Fi and other signals of opportunity, such as wireless sensor network (WSN). It combines WSN (2.4 GHz Zigbee) with Wi-Fi for hybrid location estimation, in which, Wi-Fi signal is used for the entire area, and WSN signal serves as the enhanced signal to assist the resampling of particles. The method of Enhanced SIR can not only solve the problem of degeneracy, but also improve the sampling accuracy of particles. Experimental results demonstrate that the proposed hybrid approach can provide more accurate location estimates in indoor and outdoor areas, and costs equivalent runtime, compared to conventional SIR PF.
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References
LaMarca A, Chawathe Y, Consolvo S, Hightower J, Smith I, Scott J, Sohn T, Howard J, Hughes J, Potter F et al (2005) Place lab: device positioning using radio beacons in the wild. In: Proceedings of the 3rd international conference on Pervasive Computing, pp 116–133
McGuire M, Plataniotis KN, Venetsanopoulos AN (2005) Data fusion of power and time measurements for mobile terminal location. IEEE Trans Mob Comput 4(2):142–153
Gordon N, Salmond D, Smith A (1993) Novel approach to nonlinear/non-Gaussian Bayesian state estimation. IEE Proc F Radar Sig Process 140(2):107–113
Hightower J, Borriello G (2001) A survey and taxonomy of location systems for ubiquitous computing. Technical report UW-CSE 01-08-03, University of Washington, Computer Science and Engineering, Seattle
Bahl P, Padmanabhan VN (2000) RADAR: an in-building RF-based user location and tracking system. In: Proceedings of the IEEE INFOCOM ‘00, pp 775–784
Fox D, Hightower J, Liao L, Schulz D (2002) Bayesian filtering for location estimation. IEEE Pervasive Comput 2(3):24–33
Kritzler M, Muller A (2010) From heterogeneous sensor sources to location-based information. In: Proceedings of UBICOMM2010, pp 367–372
Pedersen T, Mensing C, Papakonstantinou K et al (2010) Hybrid localization techniques. ICT-217033 WHERE D2.3 Version 1.0
IEEE Std 802.15.4TM: Wireless medium access control (MAC) and physical layer (PHY) specifications for low-rate wireless personal area networks (LR-WPANs) [S]. IEEE, 2003, pp. 641
Arulampalam S, Maskell S, Gordon N, Clapp T (2002) A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking. IEEE Trans Sig Process 50(2):174–188
Doucet A, Godsill S, Andrieu C (2000) On sequential Monte Carlo sampling methods for Bayesian filtering. Stat Comput 10(3):197–208
Acknowledgments
The project was supported by National Natural Science Foundation of China (41071284), Guangzhou Planning Project of Science and Technology (2010Y1-C711).
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Wu, D., Xia, L., Cheng, J. (2013). Fusion of Wi-Fi and WSN Using Enhanced-SIR Particle Filter for Hybrid Location Estimation. In: Sun, J., Jiao, W., Wu, H., Shi, C. (eds) China Satellite Navigation Conference (CSNC) 2013 Proceedings. Lecture Notes in Electrical Engineering, vol 245. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37407-4_61
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DOI: https://doi.org/10.1007/978-3-642-37407-4_61
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