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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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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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The Long Range Navigation (Loran) system offers a viable backup for Global Navigation Satellite System (GNSS). This study introduces a novel algorithm using pseudo-range differences to enhance Loran

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Area of Science:

  • Navigation Systems
  • Geomatics Engineering
  • Signal Processing

Background:

  • Global Navigation Satellite System (GNSS) accuracy is limited by pseudo-range errors and geometric dilution of precision (GDOP).
  • The Long Range Navigation (Loran) system presents a potential backup for GNSS, requiring methods to improve its positioning accuracy.
  • Understanding pseudo-range measurement characteristics is crucial for enhancing navigation system performance.

Purpose of the Study:

  • To develop and validate an algorithm that integrates pseudo-range differences to improve Loran positioning accuracy.
  • To analyze the impact of systematic errors and random noise on absolute and repeatable accuracy in Loran positioning.
  • To demonstrate how increasing transmitter numbers can reduce GDOP and enhance differential performance.

Main Methods:

  • Comparison of theoretical propagation delay with raw pseudo-range measurements to identify constant and temporal terms.
  • Development of a position solution algorithm utilizing pseudo-range differences, extending capabilities beyond single-chain limitations.
  • Simulation tests to evaluate the differential performance of the proposed algorithm and its impact on GDOP.

Main Results:

  • Pseudo-range measurements contain constant and temporal terms reflecting propagation conditions.
  • The proposed pseudo-range difference algorithm effectively improves position accuracy and can reduce GDOP by increasing transmitters.
  • Distinguishing systematic errors (affecting absolute accuracy) and random noise (affecting repeatable accuracy) is key. The difference method enhances absolute accuracy without altering transmitter geometry.

Conclusions:

  • The integrated pseudo-range difference algorithm offers a robust method for enhancing Loran positioning accuracy.
  • Loran can serve as a reliable GNSS backup, particularly when its positioning accuracy is optimized through advanced algorithms.
  • The methodology effectively addresses both systematic biases and random noise, leading to improved navigation performance.