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A Partial Ambiguity Resolution Algorithm Based on New-Breadth-First Lattice Search in High-Dimension Situations.

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Global Navigation Satellite Systems (GNSS) offer improved positioning. A new breadth-first lattice algorithm enhances ambiguity search efficiency in high-dimensional multisystem fusion for better navigation services.

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Area of Science:

  • Geomatics Engineering
  • Satellite Navigation Systems
  • Algorithm Development

Background:

  • Global Navigation Satellite Systems (GNSS) integration enhances positioning accuracy and reliability across various applications.
  • Multisystem fusion in GNSS increases ambiguity dimension, leading to inefficient conventional search algorithms due to discrete ambiguity parameters.
  • High-dimensional ambiguity search poses a significant challenge for current GNSS navigation services.

Purpose of the Study:

  • To develop a novel lattice ambiguity search algorithm for GNSS.
  • To improve the efficiency of ambiguity searching in high-dimensional GNSS scenarios.
  • To address the limitations of conventional search algorithms in multisystem fusion.

Main Methods:

  • Utilizing lattice theory and a breadth-first search algorithm to identify optimal lattice points.
  • Implementing Euclidean distance calculations to reduce the search space for ambiguity parameters.
  • Proposing a new lattice ambiguity search algorithm based on breadth-first principles.

Main Results:

  • The proposed algorithm effectively reduces the search space for ambiguity.
  • Experimental results demonstrate a significant improvement in search efficiency for high-dimensional ambiguity.
  • The new method proves effective in enhancing GNSS navigation service performance.

Conclusions:

  • The breadth-first lattice ambiguity search algorithm offers a superior solution for high-dimensional GNSS positioning.
  • This advancement contributes to more efficient and reliable satellite navigation services.
  • The algorithm effectively overcomes the limitations of traditional methods in complex GNSS fusion scenarios.