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Global Positioning System (GPS) technology has revolutionized navigation and positioning, but its accuracy is often compromised by various errors. These errors, stemming from environmental, satellite, and receiver-related factors, require careful mitigation to ensure reliable performance across applications.Atmospheric ErrorsGPS signals travel through the Earth’s ionosphere and troposphere, introducing delays which affect accuracy. The ionosphere is strongly influenced by charged particles,...
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The Global Positioning System (GPS) has become an indispensable tool in fieldwork, offering unparalleled precision and efficiency for surveying, navigation, and infrastructure development. By harnessing signals from a constellation of satellites, GPS receivers determine the location of objects with remarkable speed and accuracy, often completing calculations within a second.Advantages of Modern GPS TechnologyContemporary GPS receivers are designed to meet the practical demands of field...
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GPS surveying methods vary in application, accuracy, and data collection techniques, catering to diverse surveying and mapping needs. Static GPS, kinematic GPS, and real-time kinematic (RTK) surveying are widely used. Each technique offers distinct advantages.Static GPS involves placing one receiver at a known reference point and another at the target point. It collects exact positional data by observing multiple satellite ranges over an extended period, achieving centimeter-level accuracy for...
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An Improved Ambiguity-Free Method for Precise GNSS Positioning with Utilizing Single Frequency Receivers.

Wenhao Yang1, Yue Liu1, Fanming Liu1

  • 1College of Automation, Harbin Engineering University, Harbin 150001, China.

Sensors (Basel, Switzerland)
|February 12, 2020
PubMed
Summary

Precise Global Navigation Satellite System (GNSS) positioning is improved with a new Modified Ambiguity Function Approach (MAFA). This method overcomes false optima and reduces computation for single-frequency receivers, enhancing accuracy.

Keywords:
MAFAambiguity-freedifferential precise GNSS positioningsingle-frequency receiver

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Area of Science:

  • Geomatics Engineering
  • Satellite Navigation Systems
  • Signal Processing

Background:

  • Carrier phase ambiguity resolution is critical for precise Global Navigation Satellite System (GNSS) positioning.
  • Coordinate domain search methods offer advantages over ambiguity fixing, including cycle slip immunity and faster solutions.
  • The Ambiguity Function Method (AFM) suffers from low computational efficiency and false global optima, limiting its use in single-frequency receivers.

Purpose of the Study:

  • To develop a numerical search approach based on the Modified Ambiguity Function Approach (MAFA) for precise single-frequency GNSS positioning.
  • To eliminate false optimum solutions and reduce computational load without requiring ambiguity fixing.
  • To enhance the robustness and accuracy of GNSS positioning, even with broad search regions and initial position errors.

Main Methods:

  • Utilized a Modified Ambiguity Function Approach (MAFA) for numerical search in the coordinate domain.
  • Employed an improved segmented simulated annealing method to decrease computational load.
  • Applied the Kernel Density Estimator (KDE) method to filter out false optimum candidates.

Main Results:

  • Achieved precise positioning results using just two epochs of data with the z-coordinate fixed.
  • Demonstrated millimeter-level position accuracy with nineteen epochs of observation data when searching in the x, y, and z domains.
  • Showcased robustness even with a broad search region and initial position estimates several meters off the true value.

Conclusions:

  • The proposed MAFA-based numerical search approach effectively eliminates false optima and reduces computational demands for single-frequency GNSS receivers.
  • The method provides high positioning accuracy and robustness, making it suitable for practical applications.
  • This advancement facilitates precise GNSS positioning without the complexities of traditional ambiguity fixing.