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Error Mechanisms in Indoor Positioning Systems without Support from GNSS

Published online by Cambridge University Press:  12 March 2009

William R. Michalson ,
Abhijit Navalekar  and
Hemish K. Parikh
William R. Michalson*
Affiliation:
(Electrical and Computer Engineering Department, Worcester Polytechnic Institute, USA)
Abhijit Navalekar
Affiliation:
(Electrical and Computer Engineering Department, Worcester Polytechnic Institute, USA)
Hemish K. Parikh
Affiliation:
(Electrical and Computer Engineering Department, Worcester Polytechnic Institute, USA)
*
(Email: [email protected])
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Abstract

A version of this paper was first presented at the Royal Institute of Navigation NAV 08 Conference held at Church House, Westminster, London in October 2008.

There exist various applications for indoor positioning, amongst which indoor positioning and tracking in urban environments has gained significant attention. Some user communities, like fire fighters, ideally require indoor accuracy of less than one metre, with accuracies of less than six metres acceptable by some other user communities. Achieving this level of accuracy requires a detailed profiling of error sources so that they can be better understood so that, in turn, indoor positioning accuracy in the presence of these errors can be further improved. Some well known error sources like multipath, NLOS (non line of sight), oscillator drift, dilution of precision and others have been studied and can be found in the literature. A less well known error source that can substantially affect indoor positioning accuracy are the effects of the dielectric properties of building materials on propagation delay.

Various RF and non-RF based prototypes that claim to be suitable for indoor positioning can be found in the literature. Most of the existing literature discusses algorithms and summarizes the positioning results that were achieved during field tests using a prototype system or, more commonly, simulations. Little of this existing literature provides a breakdown of the total navigation system errors observed with the objective of analyzing the contribution of each error source independently.

The paper will first provide a brief overview of the precision personnel locator system developed at the Worcester Polytechnic Institute. The field tests and observed indoor positioning results using this RF prototype will then be summarized and used to provide a baseline to establish a system error budget. The total observed error will be broken down and a detailed analysis of each of the error sources will be presented based on actual measured data in a variety of indoor environments. This leads to a better understanding of how each error source affects indoor positioning accuracy. Each of the error sources can then be independently optimized to minimize the observed errors. Specifically, the interplay between the dielectric properties and multipath profiles will be highlighted. This paper will conclude by presenting an error budget which can be used as a practical lower bound when designing precise indoor positioning systems.

Keywords

Indoor positioningDielectric properties
Type
Research Article
Information
The Journal of Navigation , Volume 62 , Issue 2 , April 2009 , pp. 239 - 249
Copyright
Copyright © The Royal Institute of Navigation 2009

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References

REFERENCES

[1]Cyganski, D., Orr, J. A., and Michalson, W. R., (2003). “A Multi-Carrier Technique for Precision Geolocation for Indoor/Multipath Environments,” Institute of Navigation Proc., GPS/GNSS 2003, Portland, OR.Google Scholar
[2]Cyganski, D., Orr, J. A., and Michalson, W. R., (2004). “Performance of a Precision Indoor Positioning System Using Multi Carrier Approach,” Institute of Navigation Proc., National Technical Meeting 2004, San Diego, CA.Google Scholar
[3]Fontana, R. J., (2004). “Recent System Applications of Short-Pulse UWB Technology”, IEEE Transactions on Microwave Theory and Techniques, 52.CrossRefGoogle Scholar
[4]Han, J., Nguyen, C., (2006) “On the Development of a Compact Sub-Nanosecond Tunable Monocycle Pulse Transmitter for UWB Applications”, IEEE Transactions on Microwave Theory and Techniques, 54.Google Scholar
[5]Rao, B. D., and Arun, K. S., (1992). “Model Based Processing of Signals: A State Space Approach,” IEEE Proc., 80, 283–309.CrossRefGoogle Scholar
[6]Friedlander, B., (1987). “A Passive Localization Algorithm and Its Accuracy Analysis,” IEEE Journal of Oceanic Engineering, OE-12, 1, 234–245.CrossRefGoogle Scholar
[7]Antoine, R., (1998). “Dielectric Permittivity of concrete between 50 MHz and 1 GHz and GPR measurements for building materials evaluation,” Journal of Applied Geophysics, 40, 89–94.Google Scholar