Algoritmos de Radiolocalización basados en ToA, TDoA y AoA

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Andrés Felipe García Universidad Pontificia Bolivariana sede Medellín
Cristina Gómez Universidad Pontificia Bolivariana sede Medellín,
Tibisay Sánchez Universidad Pontificia Bolivariana sede Medellín
Alfredo David Redondo Universidad Pontificia Bolivariana sede Medellín,
Leonardo Betancur Universidad Pontificia Bolivariana sede Medellín
Roberto Carlos Hincapié Universidad Pontificia Bolivariana sede Medellín,
Resumen

Partiendo de los principios geométricos de Triangulación y Trilateración se presentan algunas técnicas de estimación de ubicación como lo son ToA (Tiempo de llegada), TDoA (Diferencia en Tiempo de llegada) y AoA (Ángulo de llegada). Para estas técnicas de estimación diferentes algoritmos son analizados incluyendo el método Analítico, el método por Mínimos Cuadrados y el método por Series de Taylor para ToA y TDoA y Capon, Bartlett y MUSIC para AoA. Éste artículo pretende presentar una revisión del estado del arte sobre algunas técnicas de estimación de ubicación y su descripción matemáticamente.

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Biografía del autor/a / Ver

Andrés Felipe García, Universidad Pontificia Bolivariana sede Medellín

MsC(c), PhD(c)

Cristina Gómez, Universidad Pontificia Bolivariana sede Medellín,

PhD.

Tibisay Sánchez, Universidad Pontificia Bolivariana sede Medellín

MsC(c)

Alfredo David Redondo, Universidad Pontificia Bolivariana sede Medellín,

MsC(c)

Leonardo Betancur, Universidad Pontificia Bolivariana sede Medellín

PhD

Roberto Carlos Hincapié, Universidad Pontificia Bolivariana sede Medellín,

PhD
Referencias

Bartleet, M., 1961. Introduction to Stochastic Processes with Special References to Methods and Applications. 3. Edition. Cambridge-London-New York-Melbourne. Cambridge University Press. Volume 59, Issue 7, p. 334.

Bureau, I., 2011. Spectrum monitoring handbook. Switzerland, Geneva. 678 pp.

Caffery, J.. J. & Stuber, G.L., 1998. Subscriber location in CDMA cellular networks. IEEE Transactions on Vehicular Technology, 47(2), pp. 406-416.

Capon, J., 1969. High-Resolution Frequency-Wavenumber Spectrum Analysis. In IEEE, pp. 1408-1418.

Cheung, K.W., So, H.C. & Chan, Y.T., 2004. Least Squares Algorithms for Time-of-Arrival-based Mobile Location. 52(4), pp.1121-1128.

Engineering, M., 2004. COST 273 TD ( 04 ) 045 RIMAX- A Flexible Algorithm for Channel Parameter Estimation from Channel Sounding Measurements I. Introduction.

Foy, W.H., 2007. Position-Location Solutions by Taylor-Series Estimation. March 1976, pp.187-194.

Godara, L., 1997. Applications of Antenna Arrays to Mobile Communications. In Part II: Beamforming and Direction-of-Arrival Considerations. Proceedings of the IEEE, pp. 1195-1245.

Gross, F.B., 2005. Smart Antennas for Wireless Communication. In p. 288.

Guvenc, I., Gezici, S. & Sahinoglu, Z., 2008. Ultrawideband range estimation: Theoretical limits and practical algorithms. Proceeedings of The 2008 IEEE International Conference on Ultra-Wideband, ICUWB 2008, 3, pp. 93-96.

Huang, J. & Wan, Q., 2012. Analysis of TDOA and TDOA/SS based geolocation techniques in a nonline-of-sight environment. Journal of Communications and Networks, 14(5), pp.533-539. Available at: http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?rnumber=6360052.

M. Vossiek, L. Wiebking, P. Gulden, J. Wieghardt, C. Hoffmann, and P.H., 2003. Wireless local positioning. Microwave Magazine, IEEE (Volume:4, Issue: 4 ), pp. 77-86.

Minasyan, G., 1994. Application of High Resolution Methods to Underwater Data Processing. N.N Andreyev Acoustics Institute.

Nur-a-alam, M. & Haque, M.M., 2008. A Least Square Approach for TDOA / AOA Wireless Location in WCDMA System., (Iccit), pp.25-27.

Oppermann, K.Y. and I., 2005. UWB Theory and Applications, Chichester, UK: Jhon Wiley & Sons, Ltda.

Redondo, A.D. et al., 2015. MIMO SDR-based Implementation of AoA Algorithms for Radio Direction Finding in Spectrum Sensing Activities. (2).

Reza, R., 2000. Data fusion for improved TOA/TDOA position determination in wireless systems. Electrical Engineering, (July). Available at: http://scholar.lib.vt.edu/theses/available/etd-08242000-15320007/.

Sayed, A.H, Tarighat, A.?; Khajehnouri, N., 2005. Network-based wireless location: challenges faced in developing techniques for accurate wireless location information., pp.24-40.

Schmidt, R., 1986. Multiple Emitter Location and Signal Parameter Estimation. IEEE Transactions on Antenna. Propogation, AP-34 No.2, pp. 276-280.

Shan, T.J, M. Wax, T.K., 1985. Spatial Smoothing for Direction-of-Arrival Estimation of Coherent Signals. IEEE Transactions on Acoustics, Speech, and Signal Processing, ASSP-33, pp. 806-811.

Shen, G., Zetik, R. & Thomä, R.S., 2008. Performance comparison of TOA and TDOA based location estimation algorithms in LOS environment. 5th Workshop on Positioning, Navigation and Communication 2008, WPNC’08, 2008, pp. 71-78.

Shen, M.S.G., 2012. Localization of Active Nodes within Distributed Ultra-Wideband Sensor Networks in Multipath Environments.

Stoica, P., R.M., 1997. Introduction to Spectral Analysis, New York City, USA: Prentice Hall.

T. S. Rappaport, J. H. Reed, and B.D.W., 1996. Position location using wireless communications on highways of the future. IEEE Communication Magazine, pp. 33-41.

Van Trees, H., 2002. Optimum Array Processing: Part IV of Detection, Estimation, and Modulation Theory.In Wiley Interscience.

Yu, K. et al., 2006. UWB location and tracking for wireless embedded networks. Signal Processing, 86, pp. 2153-2171.

Zekavat, S. a R. & Buehrer, R.M., HANDBOOK OFPOSITION LOCATION: Theory, Practice, and Advances.

Zhou, Q. & Duan, Z., 2014. Weighted Intersections of Bearing Lines for AOA Based Localization. Information Fusion (FUSION), 2014 17th International Conference on, (Ml), pp.1-8.

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