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Advances in Intelligent Systems and Applications - Volume 1 pp 177–185Cite as

A New GPS Position Correction Method Based on Genetic Programming

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Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 20))

Abstract

More and more mobile devices equipped with global positioning system (GPS) are helpful in tour navigation. However, such consumer-grade GPS receivers usually have low accuracy in positioning and require position correction algorithms. In this paper, we proposed an evolutionary computation based technique to correct a GPS receiver with another GPS receiver and a known reference point. The proposed technique can be implemented without changing any hardware. It generates a correction function from given NMEA (national Marine Electronics Association) information. Using such function to derive correct position information could be efficient. Experiments are conducted to demonstrate performance of the proposed technique. Positioning error could be reduced from in the order of 10 m to in the order of 1 m.

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Author information

Authors and Affiliations

  1. Department of Computer Science and Information Engineering, Chien Hsin University of Science and Technology, Jhongli, Taiwan

    Jung Yi Lin, Ming Chih Tung, Chia Hui Chang, Chao Chung Liu & Ju Fu Peng

Authors
  1. Jung Yi Lin
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  2. Ming Chih Tung
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  3. Chia Hui Chang
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  4. Chao Chung Liu
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  5. Ju Fu Peng
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Corresponding author

Correspondence to Jung Yi Lin .

Editor information

Editors and Affiliations

  1. , Department of Computer Science and, National Dong Hwa University, #1, Sec. 2, Da Hsueh Rd., Hualien, Taiwan R.O.C.

    Ruay-Shiung Chang

  2. , Adjunct Professor, University of Canberra, Kirinari St. Mail Room, ACT, 2601, Australia

    Lakhmi C. Jain

  3. , Department of Computer Science and, National Dong Hwa University, #1, Sec. 2, Da Hsueh Rd., Hualien, Taiwan R.O.C.

    Sheng-Lung Peng

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© 2013 Springer-Verlag Berlin Heidelberg

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Lin, J.Y., Tung, M.C., Chang, C.H., Liu, C.C., Peng, J.F. (2013). A New GPS Position Correction Method Based on Genetic Programming. In: Chang, RS., Jain, L., Peng, SL. (eds) Advances in Intelligent Systems and Applications - Volume 1. Smart Innovation, Systems and Technologies, vol 20. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35452-6_20

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  • DOI: https://doi.org/10.1007/978-3-642-35452-6_20

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-35451-9

  • Online ISBN: 978-3-642-35452-6

  • eBook Packages: EngineeringEngineering (R0)

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