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Using evolutionary computation on GPS position correction.

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

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This study introduces an evolutionary computation method to improve Global Positioning System (GPS) accuracy on handheld devices. The technique significantly reduces positioning errors from meters to approximately one meter.

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Area of Science:

  • Geomatics Engineering
  • Computer Science
  • Signal Processing

Background:

  • Consumer-grade Global Positioning System (GPS) receivers in handheld devices often exhibit low positioning accuracy.
  • Accurate positioning is crucial for various location-based applications.

Purpose of the Study:

  • To develop a novel position correction algorithm for enhancing GPS accuracy on handheld devices.
  • To implement an evolutionary computation-based technique for generating a GPS correction function.

Main Methods:

  • Utilized two GPS receivers and a known reference location to train a correction function.
  • Employed evolutionary computation to evolve the correction function using longitude, latitude, and exact position data.
  • Ensured the technique is implementable on handheld devices without requiring hardware modifications.

Main Results:

  • Demonstrated significant reduction in positioning error, decreasing it from the order of 10 meters to the order of 1 meter.
  • Validated the effectiveness of the proposed evolutionary computation-based position correction algorithm through experimental testing.

Conclusions:

  • The proposed technique offers a viable software-based solution for improving GPS accuracy on consumer-grade devices.
  • This method enables enhanced positioning performance without the need for specialized or upgraded hardware.