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Updated: Jul 16, 2026

Gain-compensation Methodology for a Sinusoidal Scan of a Galvanometer Mirror in Proportional-Integral-Differential Control Using Pre-emphasis Techniques
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Precision Enhancement of Multi-Source Integrated Navigation via Solar Disk Differential Velocity Compensation.

Yueqing Huang1, Xiaolin Ning1

  • 1School of Instrumentation Science & Opto-Electronics Engineering, Beihang University, Beijing 100191, China.

Sensors (Basel, Switzerland)
|July 15, 2026
PubMed
Summary

Strapdown inertial navigation systems (SINS) have errors corrected by Doppler Velocity Sensors (DVS). A new solar disk differential velocity method reduces position errors from kilometers to meters by accounting for solar rotation.

Keywords:
doppler velocity sensorintegrated navigationmulti-sensor fusionsolar differential rotationunmodeled system bias

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Area of Science:

  • Aerospace Engineering
  • Astrophysics
  • Navigation Systems

Background:

  • Strapdown inertial navigation systems (SINS) accumulate errors due to velocity and acceleration drifts, leading to quadratic position error growth.
  • Multi-sensor fusion with Doppler Velocity Sensors (DVS) can mitigate SINS errors, but traditional methods ignore solar rotation's differential surface velocities, causing significant unmodeled system bias.

Purpose of the Study:

  • To address the unmodeled system bias in SINS caused by ignoring solar rotation.
  • To improve the accuracy and reliability of integrated navigation systems using multi-source fusion.

Main Methods:

  • Proposed a solar disk differential velocity method within a multi-source fusion framework.
  • Developed a velocity measurement model incorporating the Sun's geometric and rotational characteristics.
  • Utilized dual-star Doppler measurements to enhance 3D velocity error observability.

Main Results:

  • The proposed method effectively eliminated the deterministic system bias, which was orders of magnitude larger than standard measurement errors.
  • Significantly improved navigation accuracy, reducing position errors from kilometer-level to tens or hundreds of meters.
  • Velocity errors were maintained within 10⁻²–10⁻¹ m/s, demonstrating enhanced precision.

Conclusions:

  • The solar disk differential velocity method overcomes limitations of traditional DVS fusion in SINS.
  • Accurate modeling of solar rotation is crucial for mitigating bias and enhancing navigation system reliability.
  • The proposed approach offers a substantial advancement in high-accuracy navigation, particularly in space applications.