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Low-frequency wind noise correlation in microphone arrays.

F Douglas Shields1

  • 1Miltec Research and Technology, Coliseum Drive, University, Mississippi 38677, USA. dshields@mil-tec.com

The Journal of the Acoustical Society of America
|July 16, 2005
PubMed
Summary

This study quantifies wind noise correlations using a microphone array. Findings reveal distinct decay patterns for wind noise in downwind, crosswind, and vertical directions, crucial for acoustic modeling.

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Area of Science:

  • Acoustics
  • Fluid Dynamics
  • Environmental Science

Background:

  • Wind noise is a significant factor in acoustic measurements.
  • Understanding wind noise characteristics is essential for accurate data acquisition and analysis.

Purpose of the Study:

  • To investigate the frequency-dependent correlation of wind noise.
  • To analyze the spatial characteristics of wind noise in different directions.
  • To determine the power density spectra of wind velocity and pressure.

Main Methods:

  • Utilized a three-axis orthogonal microphone array with ten sensors per arm.
  • Conducted simultaneous measurements of three wind velocity components.
  • Performed measurements across various wind speeds (4-7 m/s) and environmental conditions.

Main Results:

  • Established frequency-dependent correlation functions for wind noise in downwind, crosswind, and vertical directions.
  • Observed exponential decay patterns for crosswind and vertical correlations (exp(-7Y)).
  • Found power density spectra of wind velocity and pressure follow power laws (k^(-5/3) and k^(-7/3) respectively).

Conclusions:

  • The study provides quantitative models for wind noise spatial correlation.
  • Results offer insights into atmospheric turbulence and its acoustic impact.
  • Findings are applicable to improving acoustic measurements in windy environments.

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