Design of Continuous Indoor Navigation System Based on INS and Wifi

Article Preview

Abstract:

The application of navigation, such as guidance of pedestrians, requires a certain accuracy of continuous outdoor and indoor positioning. In outdoor environments GPS system has proved to be effective. However in indoor it is challenging to control the accuracy within 2 to 3 meters. At present several approaches have been developed for indoor positioning, such as RFID. But they are mainly been implemented in professional areas, for general user such as tourists and visual incapable users it is difficult to take advantage of these technologies because of the high price of terminal and the navigation service covered area is extremely limited. In this paper, a new approach of indoor navigation method is proposed to solve the problems of traditional methods. It is based on INS and wifi positioning technology. As hardware, wifi receiver, smart phone built-in accelerometer and digital compass are selected and investigated. User’s indoor position is first estimated by dead reckoning method with INS navigation system and then be recalibrated by wifi position information. Several experiments performed in the test verified the effectiveness of this indoor continuous positioning method described in this paper.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

2046-2049

Citation:

Online since:

February 2013

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2013 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Q. Fu, G. Retscher, Using RFID and INS for Indoor Positioning, LocationBased Services and TeleCartography: From Sensor Fusion to Ubiquitous LBS: v. 2 (Lecture Notes in Geoinformation and Cartography) G. Gartner, K. Rehrl, Eds, Berlin: Springer Verlag, 2008, pp.421-438.

DOI: 10.1007/978-3-540-87393-8_25

Google Scholar

[2] E. -H. Shin, Accuracy improvement of low cost INSIGPS for land applications. Master's thesis, Department of Geomatics Engineering, Universityof Calgary, (2001).

Google Scholar

[3] R. Jirawimut, P. Ptasinski, V. Garaj, F. Cecelja, W. Balachandran, A Method for Dead Reckoning Parameter Correction in PedestrianNavigation System, Proceedings of the 18th IEEE Instrumentation and Measurement Technology Conference, (2001).

DOI: 10.1109/imtc.2001.929465

Google Scholar

[4] M. Cypriani, F. Lassabe, Open Wireless positioning System, Computer Science Laboratory of the University of Franche-Comte, France, (2009).

Google Scholar

[5] W. C. Hu, W. H. Tang, Automated least-squares adjustment of triangulation-trilateration figures, Journal of Surveying Engineering, 133-142, (2001).

DOI: 10.1061/(asce)0733-9453(2001)127:4(133)

Google Scholar

[6] Y. Chen and H. Kobayashi, Signal strength based indoor geolocation, in Proc. IEEE International Conference on Communications, vol. 1, p.436–439, (2002).

Google Scholar

[7] S. H. Shin, Adaptive Step Length Estimation Algorithm Using Low-Cost MEMS Inertial Sensors, IEEE Sensors Applications Symposium (2007).

DOI: 10.1109/sas.2007.374406

Google Scholar