Hybrid GPS/GSM Positioning Systems Design with Fuzzy Logic

Hsin-Yuan Chen; Chen-Hung Liu

doi:10.20965/jaciii.2008.p0254

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JACIII Vol.12 No.3 pp. 254-262

doi: 10.20965/jaciii.2008.p0254

(2008)

Paper:

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Hybrid GPS/GSM Positioning Systems Design with Fuzzy Logic

Hsin-Yuan Chen and Chen-Hung Liu

Department of Automatic Control Engineering, Feng Chia University, Taichung, Taiwan

Received:

April 13, 2007

Accepted:

September 30, 2007

Published:

May 20, 2008

Keywords:

GPS, GSM, fuzzy logic

Abstract

Global Positioning System (GPS) is based on a satellite system. Much work has been carried out on a non-satellite positioning systems using the existing Global System of Mobile Communications (GSM) infrastructure. This leads to a hybrid GPS/GSM positioning systems in the paper. We purpose to adopt GSM for positioning via an integrated switch design with fuzzy logic, if GPS lose efficacy. This induces four main research features in this paper. (1) Designs with optimal-based Fourier analyzer to achieve error of GPS decrease is presented. (2) New applications of fuzzy set theory are presented to solve the problem of GPS accuracy. (3) An integrated switch of fuzzy logic is designed for selecting GPS or GSM positioning systems. (4) Discussions on various GSM positioning methods are adopted with different error and location parameters of environment.

Cite this article as:

H. Chen and C. Liu, “Hybrid GPS/GSM Positioning Systems Design with Fuzzy Logic,” J. Adv. Comput. Intell. Intell. Inform., Vol.12, No.3, pp. 254-262, 2008.

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References

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[9] E. Trevisani and A. Vitaletti, “Cell-ID location technique, limits and benefits: an experimental study,” IEEE, pp. 51-60, Dec. 2004.
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[15] C.-J. Lin, Y.-Y. Chen, and F.-R. Chang, “Fuzzy Processing on GPS Data to Improve Position Accuracy,” IEEE Symposium on Soft Computing Intelligent Systems and Information Processing, Asian, pp. 557-562, 1996.

This article is published under a Creative Commons Attribution-NoDerivatives 4.0 Internationa License.

[1] [1] D. Segovia-Vargas, R. Martin-Cuerdo, and M. Sierra-Perez, “Mutual coupling effects correction in microstrip arrays for direction-of-arrival (DOA) estimation,” Proc. Inst. Elect. Eng., pt.H, Vol.149, No.2, pp. 113-118, Apr. 2002.

[2] [2] K. Kaemarungsi and P. Krishnamurthy, “Properties of indoor received signal strength for WLAN location fingerprinting,” Conf. pp. 14-23, Aug. 2004.

[3] [3] T. Locher, R. Wattenhofer, and A. Zollinger, “Received-Signal-Strength-Based Logical Positioning Resilient to Signal Fluctuation,” Conf. pp. 396-402, May 2005.

[4] [4] J. Capon, “High resolution frequency wave number spectrum analysis,” Proc. IEEE, Vol.57, pp. 1408-1418, Aug. 1969.

[5] [5] R. O. Schmidt, “Multiple emitter location and signal parameter estimation,” IEEE Trans. Antennas Propagat., Vol.34, No.3, pp. 281-290, Mar. 1986.

[6] [6] R. Roy and T. Kailath, “ESPRIT-estimation of signal parameters via rotational invariance techniques,” IEEE Trans. Acoust., Speech, Signal Process., Vol.37, No.7, pp. 984-995, July 1989.

[7] [7] I. Ziskind and M. Wax, “Maximum likelihood localization of multiple sources by alternating projection,” IEEE Trans. Acoust., Speech, Signal Process., Vol.36, No.10, pp. 1553-1560, Oct. 1988.

[8] [8] C. Botteron, A. Host-Madsen, and M. Fattouche, “Effects of system and environment parameters on the performance of network-based mobile station position estimators,” IEEE Trans. Vehicular Technology, Vol.53, No.1, pp. 163-180, Jan. 2004.

[9] [9] E. Trevisani and A. Vitaletti, “Cell-ID location technique, limits and benefits: an experimental study,” IEEE, pp. 51-60, Dec. 2004.

[10] [10] M. Pettersen, R. Eckhoff, P. H. Lehne, T. A. Worren, and E. Melby, “An experimental evaluation of network-based methods for mobile station positioning,” IEEE, Vol.5, pp. 2287-2291, Sept. 2002.

[11] [11] I. Biton, M. Koifman, and I. Y. Bar Itzhack, “Improved direct solution of the global Positioning system equation,” J. Guidance, Control, Dynamics, Vol.47, pp. 342-351, Feb. 1998.

[12] [12] M. Phatak, M. Chansarkar, and S. Kohli, “Position fix from three GPS satellites and altitude: a direct method,” IEEE Trans. Aerospace and Electronic Systems, Vol.35, No.1, pp. 350-354, Jan. 1999.

[13] [13] R. Tehrani and L. C. Ludeman, “Use of generalized Taylor series expansion,” IEEE Int. Symposium, Vol.2, 3-6, pp. 979-982, May 1992.

[14] [14] R. Z. Khan, L. A. Anderson, and M. T. Manry, “Taylor series approximation of the energy spectral density,” Acoustics, Speech, and Signal Processing, IEEE Transactions, Vol.36, pp. 102-105, Jan. 1988.

[15] [15] C.-J. Lin, Y.-Y. Chen, and F.-R. Chang, “Fuzzy Processing on GPS Data to Improve Position Accuracy,” IEEE Symposium on Soft Computing Intelligent Systems and Information Processing, Asian, pp. 557-562, 1996.