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A Novel Method for Online Extraction of Small-Angle Scattering Pulse Signals from Particles Based on Variable

Rongrui Zhang1, Heng Zhao1

  • 1Centre for Lidar Remote Sensing Research, School of Mechanical and Precision Instrument Engineering, Xi'an University of Technology, Xi'an 710048, China.

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Summary

A new adaptive filtering method improves particle detection accuracy in small-angle optical particle counters (OPCs). This variable forgetting factor recursive least squares (VFF-RLS) algorithm enhances the resolution of weak particle signals, crucial for accurate size detection.

Keywords:
adaptive filteringlight scatteringoptical particle counterparticulate matterrecursive least squaressmall angle

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Area of Science:

  • Instrumentation and Measurement
  • Optical Physics
  • Signal Processing

Background:

  • Small-angle optical particle counters (OPCs) are vital for detecting particles, but their accuracy depends on resolving low-amplitude signals from fine particles.
  • Improving the signal-to-noise ratio and resolution of scattering pulses is essential for enhancing OPC performance.

Purpose of the Study:

  • To develop and validate a novel adaptive filtering method for small-angle particle scattering signals.
  • To enhance the accuracy of particle size detection in OPCs by improving the resolution of weak signals.

Main Methods:

  • Proposed a new adaptive filtering method based on the recursive least squares (RLS) algorithm.
  • Introduced a variable forgetting factor (VFF) strategy to optimize the RLS algorithm for distinguishing scattering signals from stray light and noise.
  • Conducted experiments in a simulated smoke box using particles with varying properties to test the algorithm's effectiveness.

Main Results:

  • The VFF-RLS algorithm effectively suppressed system stray light and background noise.
  • Demonstrated fast convergence and tracking speed, highlighting particle pulse signals accurately.
  • Significantly improved the resolution of processed scattering pulse signals compared to traditional methods, especially for weak, small-angle pulses.

Conclusions:

  • The proposed VFF-RLS algorithm offers a significant advancement in processing small-angle scattering signals for OPCs.
  • The method provides superior performance in extracting weak particle pulses, leading to more accurate particle size determination.
  • Further investigation into the impact of filter order on scattering pulse extraction is warranted.