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Observer-based beamforming algorithm for acoustic array signal processing.

Long Bai1, Xun Huang

  • 1Department of Mechanics and Aerospace Engineering, College of Engineering, Peking University, Beijing, People's Republic of China.

The Journal of the Acoustical Society of America
|January 10, 2012
PubMed
Summary
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A new observer-based beamforming method improves microphone array noise identification by recursively rejecting coherent background noise. This technique offers real-time computational capability, outperforming conventional delay-and-sum beamforming.

Area of Science:

  • Acoustics
  • Signal Processing
  • Array Signal Processing

Background:

  • Conventional delay-and-sum (DAS) beamforming is widely used for noise identification with microphone arrays.
  • DAS beamforming is susceptible to background noise, especially coherent noise, limiting accuracy in applications like wind tunnel testing.
  • Existing methods like arithmetic averaging struggle with coherent noise and lack real-time processing capabilities.

Purpose of the Study:

  • To introduce and theoretically derive an observer-based beamforming algorithm.
  • To address the limitations of conventional DAS beamforming, specifically background noise interference and lack of real-time computation.
  • To enhance the accuracy and efficiency of acoustic array signal processing.

Main Methods:

  • Developed an observer-based beamforming algorithm with a recursive structure, inspired by classical control theory state observers.

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  • The algorithm is designed for iterative rejection of coherent background noise.
  • Theoretical derivations of the observer-based beamforming algorithm were established.

    • Main Results:

    • The observer-based beamforming method demonstrated effective rejection of coherent background noise through iterative processing.
    • Numerical simulations confirmed the real-time computational capability of the proposed method.
    • The algorithm showed significant improvements over conventional techniques in handling background noise.

    Conclusions:

    • Observer-based beamforming is a viable and attractive alternative for acoustic array signal processing.
    • The method offers superior performance in noise identification tasks, particularly in challenging environments.
    • Its real-time capability makes it suitable for dynamic and demanding applications.