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On-The-Fly Ambiguity Resolution Based on Double-Differential Square Observation.

Tengfei Wang1, Zheng Yao2, Mingquan Lu3

  • 1Department of Electronic Engineering, Tsinghua University, Beijing 100084, China. wtf13@mails.tsinghua.edu.cn.

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Summary

This study introduces a new method for ground-based navigation systems that achieves centimeter-level accuracy using only carrier phase measurements. This approach, called double-differential square observation (DDS), eliminates the need for code measurements, improving reliability in challenging environments.

Keywords:
ambiguity resolutioncarrier phase measurementground based positioning

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Area of Science:

  • Geomatics Engineering
  • Navigation Systems
  • Signal Processing

Background:

  • Global Navigation Satellite Systems (GNSS) performance degrades in obstructed environments.
  • Ground-based systems offer high precision but rely on initialization with potentially error-prone code measurements.
  • Ambiguity Resolution (AR) is critical for centimeter-level accuracy in these systems.

Purpose of the Study:

  • To develop an on-the-fly ambiguity resolution (OTF-AR) method for ground-based navigation systems.
  • To eliminate the dependency on code measurements for initialization and linearization.
  • To enhance positioning accuracy and reliability in challenging environments.

Main Methods:

  • Proposed a novel double-differential square observation (DDS) concept.
  • Developed an OTF-AR method utilizing two-way carrier phase measurements.
  • Leveraged geometric changes from rover motion for AR and obtained approximate coordinates without code measurements.

Main Results:

  • The proposed method successfully performs AR using only carrier phase measurements.
  • Clock errors are effectively canceled out through two-way measurements.
  • Simulations and real experiments demonstrated centimeter-level positioning accuracy.

Conclusions:

  • The DDS-based OTF-AR method provides a robust solution for ground-based navigation.
  • Eliminating code measurements enhances convergence and reliability.
  • The method offers valuable floating solutions when fixed solutions are uncertain.