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An efficient smoothing algorithm for range external guidance data based on dynamic threshold and adaptive

Shixue Zhang1, Huihui Cai2, Houfeng Wang2

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This study introduces a new method for real-time smoothing of photoelectric theodolite guidance data. The approach effectively detects outliers and interpolates data for stable image acquisition in trajectory measurement systems.

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Area of Science:

  • Optics and Photonics
  • Signal Processing
  • Geomatics Engineering

Background:

  • Photoelectric theodolites require stable image acquisition for accurate trajectory measurements.
  • External guidance data often contains outliers and can become 'stuck', hindering real-time processing.
  • Existing methods struggle with dynamic outlier detection and adaptive data interpolation.

Purpose of the Study:

  • To develop a robust field processing method for real-time smoothing of external guidance data.
  • To enhance the stability and accuracy of image acquisition in photoelectric theodolite systems.
  • To address challenges posed by outliers and 'stuck' data in guidance signals.

Main Methods:

  • Dynamic thresholding using an influence function for real-time outlier detection.
  • Adaptive interpolation strategies based on evaluating data coherence and 'stuck' conditions.
  • A five-point extrapolation method for outlier elimination.

Main Results:

  • Achieved an average outlier detection rate exceeding 80% with a low false alarm rate.
  • Successfully handled both 'stuck' and non-stuck external guidance data.
  • Produced smooth and coherent processing results, meeting trajectory measurement system requirements.

Conclusions:

  • The proposed dynamic thresholding and adaptive interpolation method significantly improves real-time data smoothing for photoelectric theodolites.
  • This technique enhances the reliability and accuracy of trajectory measurement systems.
  • The method demonstrates practical applicability and effectiveness in demanding measurement scenarios.