A Novel Statistical AOA Model Pertinent to Indoor Geolocation
F. O. AKGUL, K. PAHLAVAN
.
DOI: 10.4236/jgis.2010.21009   PDF    HTML     4,709 Downloads   8,197 Views   Citations

Abstract

A novel statistical angle-of-arrival (AOA) model for indoor geolocation applications is presented. The modeling approach focuses on the arrivals of the multipath components with respect to the line-of-sight (LOS) path which is an important component especially when indoor geolocation applications are considered. The model is particularly important for indoor applications where AOA information could be utilized for tracking indirect paths to aid in precise ranging in harsh and dense multipath environments where LOS path might be blocked due to obstructions. The results have been obtained by a measurement calibrated ray-tracing (RT) tool.

Share and Cite:

F. AKGUL and K. PAHLAVAN, "A Novel Statistical AOA Model Pertinent to Indoor Geolocation," Journal of Geographic Information System, Vol. 2 No. 1, 2010, pp. 45-48. doi: 10.4236/jgis.2010.21009.

Conflicts of Interest

The authors declare no conflicts of interest.

References

[1] P. Petrus, J. H. Reed, T. S. Rappaport, “Geometrical-based statistical macrocell channel model for mobile environments”, IEEE Transactions on Communications, vol. 50, no. 3, pp. 495–502, March 2002.
[2] Q. Spencer, “Modeling statistical time and angle of arrival characteristics of an indoor multipath channel”, IEEE Journal on Selected Areas in Comm., vol. 18, no. 3, Mar 2000.
[3] F. O. Akgul, K. Pahlavan, “AOA Assisted NLOS Error Mitigation for TOA-Based Indoor Positioning Systems”, IEEE Military Communications Conference, Orlando FL, 29-31 Oct. 2007.
[4] K. Pahlavan, F. O. Akgul, M. Heidari, A. Hatami, J. M. Elwell, R. D. Tingley, “Indoor geolocation in the absence of direct path”, IEEE Wireless Communications, vol. 13, no. 6, pp. 50-58, Dec 2006.
[5] D. E. Gustafson, J. M. Elwell, J. A. Solt, “Innovative Indoor Geolocation Using RF Multipath Diversity”, In IEEE/ION Position, Location, And Navigation Symposium, pp. 904-912, San Diego, CA, April 25-27, 2006.
[6] R. Valenzuela, “A ray tracing approach to predicting indoor wireless transmission”, in Proc. IEEE VTC 1993, pp. 214–218, Piscataway, NJ, May 18-20, 1993
[7] T. Holt, K. Pahlavan, J. F. Lee, “A computer graphics package for indoor radio channel simulation using a 2D ray tracing algorithm”, In Proc. Local Computer Networks, Minneapolis, MN, September 13-16, 1992
[8] T. Holt, K. Pahlavan, J. F. Lee, “A graphical indoor radio channel simulator using 2D ray tracing”, In Proc. of the Third International IEEE Symposium on Personal, Indoor and Mobile Radio Communications, Boston, MA, October 19-21, 1992.
[9] H. Bertoni, W. Honcharenko, L. R. Maciel, and H. Xia, “Uhf propagation prediction for wireless personal communications”, In Proc. of the IEEE, vol. 82, no. 9, pp. 1333–1359, Sep 1994.
[10] G. L. Turin et al., “A statistical model of urban multipath propagation”, IEEE Transactions on Vehicular Technology, vol. 21, no. 1, pp. 1–9, Feb 1972.

Copyright © 2024 by authors and Scientific Research Publishing Inc.

Creative Commons License

This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.