Eliminating Linear Positioning Bias with Polynomial Approximation in AGPS Method

Ji Zhong Li; Yan Zhao Li

doi:10.4028/www.scientific.net/AMM.263-266.383

Paper Titles

An Analysis of Temporal Diffraction of a Chirped Femtosecond Laser Pulse by a Circle Aperture
p.360

An Improved Video Mosaic Block Detection Method on the Statistics of Pixel Difference across the Boundary of Macroblock and Suspected Mosaic Blocks
p.365

Defect Reconstruction in Laminated Composites by Ultrasonic Imaging
p.371

Design of Capacity Loss Tester of Power Transformer
p.378

Eliminating Linear Positioning Bias with Polynomial Approximation in AGPS Method
p.383

Research and Design of the Remote Monitoring System for Power Quality in Wind Farms
p.387

Study on Liquid Volume Measurement Based on Wireless Transmission and Hydraulic Sensors
p.392

Ball Mill Load State Recognition Based on Kernel PCA and Probabilistic PLS-ELM
p.398

Design and Implementation of New Embedded Network Management and Monitoring System
p.402

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 263-266Eliminating Linear Positioning Bias with...

Eliminating Linear Positioning Bias with Polynomial Approximation in AGPS Method

Abstract:

An AGPS (assisted global positioning system) positioning method was researched with polynomial approximation in this paper. Linear positioning errors were found through the analysis of an AGPS positioning algorithm with mobile station (MS) clock error. These errors were engendered to induce a bias of reference moment. The value of an objective function can be quadratically related to the deviation of reference time. Thus, the objective function curve was fitted with three reference time values, and the lowest point of curve to amend the reference time is determined. This method can eliminate linear positioning error.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 263-266)

Pages:

383-386

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.263-266.383

Citation:

Cite this paper

Online since:

December 2012

Authors:

Ji Zhong Li, Yan Zhao Li*

Keywords:

Global Positioning System (GPS), Polynomial Approximation, Positioning Accuracy

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

* - Corresponding Author

References

[1] C. Cohen, B. Ferrell, G. Gutt, N. Whelan. Real-time data aiding for enhanced GPS performance. U.S. Patent 20050159891A1, Jul. 21, 2005.

Google Scholar

[2] Li Binghao, Tan Yong Khing, Dempster A.G. Using two global positioning system satellites to improve wireless fidelity positioning accuracy in urban canyons[J]. IET Communications, 2011, 5(2): 163-171.

DOI: 10.1049/iet-com.2010.0064

Google Scholar

[3] Bakhoum, Ezzat G. Third-generation GPS: A low-maintenance, high-reliability future GPS system. International Journal of Communication Systems, 2010, 23(11): 1431-1442.

DOI: 10.1002/dac.1132

Google Scholar

[4] Yinlin Zhao, T. M. King, G. J. Geier. GPS assistance messages in cellular communications networks and methods therefor. U.S. Patent. 2002/0168985A1, Nov. 14, 2002.

Google Scholar

[5] N. Woo, G. Zeisel. Mobile GPS aiding data solution. U.S. Patent 7495609B1, Feb. 24, 2009.

Google Scholar

[6] S. Chang, S. Jose. Network system for aided GPS broadcast positioning. U.S. Patent 2006/0223549A1, Oct. 5, 2006.

Google Scholar

[7] LI Jizhong. Eliminating abnormal positioning bias with translation technology in AGPS method. IEEE ICCAE, 2010, (3):570-574.

DOI: 10.1109/iccae.2010.5451818

Google Scholar

[8] K. Fallahi, C. T. Cheng, M. Fattouche. Robust Positioning Systems in the Presence of Outliers Under Weak GPS Signal Conditions. IEEE Systems Journal, 2012, 3(6): 401-413.

DOI: 10.1109/jsyst.2011.2173622

Google Scholar