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Highly directional pressure sensing using the phase gradient.

Joseph S Lawrence1, Kent L Gee1, Tracianne B Neilsen1

  • 1Department of Physics and Astronomy, Brigham Young University, Provo, Utah 84602, USA joseph-lawrence@hotmail.com, kentgee@byu.edu, tbn@byu.edu, scott_sommerfeldt@byu.edu.

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Summary
This summary is machine-generated.

This study introduces a novel directional pressure sensor using phase gradient principles. It offers improved source localization and wider bandwidth compared to existing methods.

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Area of Science:

  • Acoustics
  • Signal Processing
  • Sensor Technology

Background:

  • Traditional two-microphone directional sensing methods often suffer from limited bandwidth.
  • Active intensity measurements can be improved by mitigating finite-difference errors using phase and amplitude gradient estimation.
  • Accurate directional sensing is crucial for applications like source localization and noise analysis.

Purpose of the Study:

  • To develop a novel directional pressure sensor with enhanced bandwidth and accuracy.
  • To overcome the bandwidth limitations of existing two-microphone sensing techniques.
  • To improve the capabilities of directional sensing for identifying and localizing acoustic sources.

Main Methods:

  • Development of a directional pressure sensor utilizing phase gradient principles.
  • Application of phase unwrapping techniques to extend accuracy beyond the spatial Nyquist frequency.
  • Comparative analysis against traditional beamforming and gradient sensing methods.

Main Results:

  • The developed sensor achieves accurate directional sensing up to the spatial Nyquist frequency.
  • Frequency-independent array response with high directivity and arbitrary order is achievable with two microphones.
  • The new method demonstrates superior localization capabilities and increased bandwidth when compared to beamforming and gradient sensing.

Conclusions:

  • The phase gradient-based directional pressure sensor offers significant advantages in bandwidth and accuracy.
  • This technique provides a robust solution for directional sensing, outperforming conventional methods.
  • The findings pave the way for more effective acoustic source identification and analysis in diverse environments.