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Issue No.06 - June (2012 vol.11)
pp: 1021-1032
Ian Sharp , ICT Centre at CSIRO, Sydney
Kegen Yu , Macquarie University, North Ryde and University of New South Wales, Sydney
Thuraiappah Sathyan , ICT Centre at CSIRO, Sydney
This paper presents a method of determining the statistical positional accuracy of a moving object being tracked by any 2D (but particularly radiolocation) positioning system without requiring a more accurate reference system. Commonly for testing performance only static positional errors are measured, but typically for radiolocation systems the positional performance is significantly different for moving objects compared with stationary objects. When only the overall statistical performance is required, the paper describes a measurement technique based on determining 1D cross-track errors from a nominal path, and then using this data set to determine the overall 2D positional error statistics. Comparison with simulated data shows that the method has good accuracy. The method is also tested with vehicle tracking in a city and people tracking within a building. For the indoor case, static and dynamic measurements allowed the degrading effect of body-worn devices due to signal blockage to be determined. Error modeling is also performed and a Rayleigh-Gamma model is proposed to describe the radial positional errors. It is shown that this model has a good match with both indoor and outdoor field measurements.
Positional accuracy measurement, positional error modeling, indoor/outdoor mobile tracking, experimental verification.
Ian Sharp, Kegen Yu, Thuraiappah Sathyan, "Positional Accuracy Measurement and Error Modeling for Mobile Tracking", IEEE Transactions on Mobile Computing, vol.11, no. 6, pp. 1021-1032, June 2012, doi:10.1109/TMC.2011.119
[1] K. Yu, I. Sharp, and Y.J. Guo, Ground-Based Wireless Positioning. Wiley-IEEE Press, 2009.
[2] Y. Qi, H. Kobayashi, and H. Suda, “On Time-of-Arrival Positioning in a Multipath Environment,” IEEE Trans. Vehicular Technology, vol. 55, pp. 1516-1526, Sept. 2006.
[3] K. Yu, “3-D Localization Error Analysis in Wireless Networks,” IEEE Trans. Wireless Comm., vol. 6, no. 10, pp. 3473-3481, Oct. 2007.
[4] H. Miao, K. Yu, and M. Juntti, “Positioning for NLOS Propagation: Algorithm Derivations and Cramer-Rao Bounds,” IEEE Trans. Vehicular Technology, vol. 56, pp. 2568-2580, Sept. 2007.
[5] M.O. Sunay and I. Tekin, “Mobile Location Tracking in DS CDMA Networks Using Forward Link Time Difference of Arrival and Its Application to Zone-Based Billing,” Proc. Global Telecomm. Conf. (GlobeCom '99), pp. 143-147, 1999.
[6] P. Bahl and V. Padmanabhan, “RADAR: An In-Building RF-Based User Location and Tracking System,” Proc. IEEE INFOCOM, pp. 775-784, 2000.
[7] N. Patwari, A.O. HeroIII, M. Perkins, N.S. Correal, and R.J. O'Dea, “Relative Location Estimation in Wireless Sensor Networks,” IEEE Trans. Signal Processing, vol. 51, no. 8, pp. 2137-2148 Aug. 2003.
[8] M. Modsching, R. Kramer, and K.T. Hagen, “Field Trial on GPS Accuracy in a Medium Size City: The Influence of Built-Up,” Proc. Workshop Positioning, Navigation and Communication (WPNC), pp. 209-218, 2006.
[9] X. Meng, L. Yang, J. Aponte, C. Hill, T. Moore, and A.H. Dodson, “Development of Satellite Based Positioning and Navigation Facilities for Precise ITS Applications,” Proc. IEEE 11th Int'l Conf. Intelligent Transportation Systems (ITSC), pp. 962-967, Oct. 2008.
[10] R. Schubert, E. Richter, and G. Wanielik, “Comparison and Evaluation of Advanced Motion Models for Vehicle Tracking,” Proc. 11th Int'l Conf. Information Fusion, pp. 1-6, 2008.
[11] G.H. Elkaim, M. Lizarraga, and L. Pedersen, “Comparison of Low-Cost GPS/INS Sensors for Autonomous Vehicle Applications,” Proc. IEEE/ION Position, Location, and Navigation Symp., pp. 1133-1144, 2008.
[12] A. El-Rabbany, Introduction to GPS: The Global Positioning System. Artech House, 2002.
[13] P.J.G. Teunissen and A. Kleusberg, GPS for Geodesy. Springer, 1998.
[14] F. Villanese, N.E. Evans, and W.G. Scanlon, “Pedestrian-Induced Fading for Indoor Channels at 2.45, 5.7 and 62 GHz,” Proc. IEEE Vehicular Technology Conf., pp. 43-48, Sept. 2000.
[15] H. Huo, W. Shen, Y. Xu, and H. Zhang, “The Effect of Human Activities on 2.4 Ghz Radio Propagation at Home Environment,” Proc. Int'l Conf. Broadband Network and Multimedia Technology, pp.95-99, Oct. 2009.
[16] I. Sharp, K. Yu, and Y.J. Guo, “GDOP Analysis for Positioning System Design,” IEEE Trans. Vehicular Technology, vol. 58, no. 7, pp. 3371-3382, Sept. 2009.
[17] B. Alavi and K. Pahlavan, “Modeling of the Distance Error for Indoor Geolocation,” Proc. IEEE Wireless Comm. and Networking Conf., pp. 668- 672, Mar. 2003.
[18] B. Alavi and K. Pahlavan, “Modeling of the TOA-Based Distance Measurements Error Using UWB Indoor Radio Measurements,” IEEE Comm. Letters, vol. 10, no. 4, pp. 275-277, Apr. 2006.
[19] G.C. Hurst, “QUIKTRAK: A Unique New AVL System,” Proc. Vehicle Navigation and Information Systems Conf., pp A60-A62, Sept. 1989.
[20] M. Hedley, D. Humphrey, and P. Ho, “System and Algorithms for Accurate Indoor Tracking Using Low-Cost Hardware,” Proc. IEEE/ION Position, Location and Navigation Symp., pp. 633-640, May 2008.
[21] D. Humphrey and M. Hedley, “Super-Resolution Time of Arrival for Indoor Localization,” Proc. IEEE Int'l Conf. Comm. (ICC), pp. 3286-3290, May 2008.
[22] T. Sathyan, D. Humphrey, and M. Hedley, “WASP—A System and Algorithms for Accurate Localization Using Low-Cost Hardware,” IEEE Trans. Systems, Man and Cybernetics, vol. 41, no. 2, pp. 211-222, Mar. 2011.
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