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Updated: Jul 5, 2025

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A Segmented Cross-Correlation Algorithm for Dynamic North Finding Using Fiber Optic Gyroscopes.

Shuwei Fang1, Shanjun Mao1, Yanjun Chen2

  • 1Institute of Remote Sensing and Geographic Information System, Peking University, Beijing 100871, China.

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|January 23, 2024
PubMed
Summary
This summary is machine-generated.

This study introduces a segmented cross-correlation algorithm to improve fiber optic gyroscope (FOG) north finding accuracy during dynamic conditions. The new method significantly reduces errors caused by turntable speed jitter, enhancing navigation system performance.

Keywords:
divide-and-conquer algorithmfiber optic gyroscopejitternorth finding

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Area of Science:

  • Navigation and Positioning Systems
  • Optical Engineering
  • Signal Processing

Background:

  • Fiber optic gyroscopes (FOGs) are crucial for navigation and positioning.
  • Dynamic north finding requires accelerated turntable speeds for faster responses.
  • Increased turntable speed introduces jitter, degrading FOG accuracy.

Purpose of the Study:

  • To develop a novel algorithm to mitigate north-finding errors caused by turntable speed jitter.
  • To establish and analyze a north-finding error model considering FOG self-noise and turntable jitter.
  • To validate the proposed algorithm through simulations and experiments.

Main Methods:

  • Implementation of a segmented cross-correlation algorithm for dynamic north finding.
  • Development of a mathematical model for north-finding error.
  • Validation using a FOG system with simulations and real-world experiments.

Main Results:

  • The proposed algorithm effectively reduces errors from turntable speed instability.
  • Simulations and experiments showed strong agreement with the developed error model.
  • At 180°/s, a 64% improvement in north-finding accuracy was achieved (0.052° bias error).

Conclusions:

  • The segmented cross-correlation algorithm offers a robust solution for dynamic north finding.
  • The method enhances both the speed and accuracy of north-finding systems.
  • This advancement is vital for applications requiring precise and rapid navigation.