基于点对点辅助的室内定位方法研究与实现
Research and Implementation of Indoor Localization Method Based on Peer-to-Peer Auxiliary

DOI: 10.12677/CSA.2014.41001, PP. 1-6

Keywords: 移动智能终端；室内定位；点对点辅助
Smart Device, Indoor Localization, Peer-to-Peer Auxiliary

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Abstract:

随着移动终端和移动互联网的发展，人们对于基于位置信息的服务的需求日益增大。相比室外环境可以采用GPS定位方法，在室内环境下，精确定位比较困难。本文描述了一种基于点对点辅助室内定位方法。该方法利用室外移动智能终端的GPS获得精准基准点并通过RSSI协助室内移动智能终端实现定位。该文详细地分析了该室内定位方法的工作原理，并给出了详细的设计方案。实验结果表明，该方法具有较高的可行性。
With the rapid development of mobile smart device and mobile Internet, people’s demand for location-based services is increasing. Compared to the outdoor environment using GPS, precise positioning is more difficult in indoor environment. This paper describes the indoor localization method based on peer-to-peer auxiliary. The method utilizes GPS of outdoor smart devices to get accurate datum point, and implements localization by RSSI assisting the indoor smart devices. This paper analyzes the principle of the indoor localization method, and gives a detailed solution. Experimental results show that the method is of high feasibility.

References

[1]	王赛伟 (2009) 基于位置指纹的WLAN室内定位方法研究. 硕士学位论文, 哈尔滨工业大学, 哈尔滨.
[2]	何山 (2011) 基于RSSI的精确室内定位算法. 现代电信科技, 3, 34-37.
[3]	Wu, C., Yang, Z. and Liu, Y. (2012) WILL: Wireless indoor localization without site survey. 2012 Proceedings IEEE INFOCOM, Orlando, 25-30 March 2012, 64-72.
[4]	Wang, H., Sen, S. and Elgohary, A. (2012) No need to war-drive: Unsupervised indoor localization. Proceedings of the 10th International Conference on Mobile Systems, Applications, and Services, Lake District, June 2012, 197-210.
[5]	Zhang, B., Teng, J. and Zhu, J. (2012) EV-Loc: Integrating electronic and visual signals for accurate localization. Proceedings of the Thirteenth ACM International Symposium on Mobile Ad Hoc Networking and Computing, 11-14 June 2012, 25-34.
[6]	Chintalapudi, K., Padmanabha Iyer, A. and Padma-nabhan, V.N. (2010) Indoor localization without the pain. Proceedings of the Sixteenth Annual International Conference on Mobile Computing and Networking, Istanbul, 22-26 August 2012, 173-184.
[7]	High accuracy indoor positioning technology solution and business implications (2012) http://www.cwins.wpi.edu/
[8]	Schuhmann, S., Herrmann, K. and Rothermel, K. (2008) Improved weighted centroid localization in smart ubiquitous environments. Ubiquitous Intelligence and Computing. Springer Berlin Heidelberg, 20-34.
[9]	Li, B.H., Slter, J., Dempster, A.G. and Rizos, C. (2006) Indoor positioning techniques based on wireless LAN. The 1st IEEE International Conference on Wireless Broadband and Ultra Wideband Communications, Sydney, 13-16 March 2006, 13-16.
[10]	Han, D.S., Andersen, D.G., Kaminsky, M., et al. (2009) Access point localization using local signal strength gradient. 10th International Conference of Passive and Active Network Measurement, Seoul, 1-3 April 2009, 99-108.
[11]	Altintas, B. and Serif, T. (2011) Improving RSS-based indoor positioning algorithm via K-means clustering. 11th European Wireless Conference 2011-Sustainable Wireless Technologies (European Wireless), 27-29 April 2011, 1-5.
[12]	Zhang, R., Bannoura, A. and Hoflinger, F. (2013) Indoor localization using a smart phone. 2013 IEEE Sensors Applications Symposium (SAS), Galveston, 19-21 February 2013, 38-42.

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