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

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.