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Controlled GPS Signal Simulation for Indoors

Published online by Cambridge University Press:  20 April 2007

Tao Hu
Affiliation:
(Department of Geomatics Engineering, University of Calgary)
Gérard Lachapelle*
Affiliation:
(Department of Geomatics Engineering, University of Calgary)
Richard Klukas
Affiliation:
(School of Engineering, University of British Columbia Okanagan)
*

Abstract

For certain applications such as E911/E999/E112, GPS chipset receiver manufacturers will possibly have to test their products to ensure these fulfill mandated performance specifications for a variety of outdoor and indoor conditions. As opposed to testing in the field, laboratory testing is totally repeatable and controllable, and may be less costly. Hardware GPS signal simulators are now able to simulate signals under a variety of attenuation and multipath conditions. In indoor environments, GPS signals suffer not only from severe attenuation and multipath but from complex variations thereof. A method to simulate indoor GPS signals such that the stochastic characteristics of the simulated signals match those of actual GPS signals received in situ by a high sensitivity GPS receiver in various indoor environments is presented. Probability density functions and correlation coefficients are used to demonstrate the similarity between field and simulated data in terms of signal power fading and estimated pseudorange error. The results clearly demonstrate the feasibility of the approach.

Type
Research Article
Copyright
Copyright © The Royal Institute of Navigation 2007

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References

REFERENCES

Boulton, P., Read, A., MacGougan, G., Klukas, R., Cannon, M. E., and Lachapelle, G. (2002a). Proposed Models and Methodologies for Verification Testing of AGPS-Equipped Cellular Mobile Phones in the Laboratory. Proceedings of ION GPS 2002, Portland, OR, 2427. September, 200–212.Google Scholar
Boulton, P. (2002b). GSS6560 Multi-Channel GPS/SBAS Simulator Product Specification. Issue 1.00, 21 May 2002.Google Scholar
Braasch, M. S. (1996). Multipath Effects, Global Positioning System: Theory and Applications. Vol. I, ed. Parkinson, B. W. and Spilker, J. J. Jr., American Institute of Aeronautics and Astronautics, Inc., Washington DC. pp. 547566.Google Scholar
FCC, 2000. Guidelines for Testing and Verifying the Accuracy of Wireless E911 Location Systems, Federal Communications Commision, USA, OET BULLETIN No. 71. www.fcc.gov/Bureaus/Engineering_Technology/Documents/bulletins/oet71/oet71.docGoogle Scholar
Hu, T. (2006). Controlled Indoor GPS Signal Simulation. MS.c.,Thesis, published as Report No. 20235, Department of Geomatics Engineering, The University of Calgary.Google Scholar
ICD-GPS-200C (2000). GPS Interface Control Document. NAVSTAR GPS Space Segment/Navigation User Interfaces, IRN-200C-004, 12, Apr, 2000Google Scholar
Klukas, R., Julien, O., Dong, L., Cannon, M. E., and Lachapelle, G. (2004). Effects of Building Materials on UHF Ranging Signals. GPS Solutions 8, 18.Google Scholar
Lachapelle, G., Cannon, M. E., Klukas, R., Singh, S., Watson, R., Boulton, P., Read, A., and Jones, K. (2003a). Hardware Simulator Models and Methodologies for Controlled Indoor Performance Assessment of High Sensitivity A-GPS Receivers. Proceedings of European Navigation Conference GNSS 2003, Graz, Austria, April 2225.Google Scholar
Lachapelle, G., Kuusniemi, H., Dao, D. T. H., MacGougan, G., and Cannon, M. E. (2003b). HSGPS Signal Analysis and Performance under Various Indoor Conditions. Proceedings of ION GPS/GNSS 2003, Portland, OR, September 9–12. 11711184.Google Scholar
MacGougan, G. D. (2003). High Sensitivity GPS Performance Analysis in Degraded Signal Environments. Ms.c. thesis, published as Report No. 20176, Department of Geomatics Engineering, University of Calgary.Google Scholar
Petovello, M. G., Cannon, M. E., and Lachapelle, G. (2000). C3NAVG2™ Operating Manual, PLAN Group, Department of Geomatics Engineering, University of Calgary.Google Scholar
Ray, J. K. (2000). Mitigation of GPS Code and Carrier Phase Multipath Effects Using a Multi-Antenna System. PhD. Thesis, published as Report No. 20136, Department of Geomatics Engineering, University of Calgary.Google Scholar
van Nee, R. (1993). Spread Spectrum Code and Carrier Synchronization Errors Caused by Multipath and Interference. IEEE Trans. on Aerospace and Electronic Systems, 29 4, 13591365.Google Scholar