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Adaptive array reduction method for acoustic beamforming array designs.

Elias J G Arcondoulis1, Yu Liu1

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Summary
This summary is machine-generated.

This study introduces an Adaptive Array Reduction Method (ARM) to improve microphone array design. The new method enhances source imaging by addressing main lobe distortion issues in the original ARM.

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Area of Science:

  • Acoustics and Signal Processing
  • Array Signal Processing

Background:

  • Iterative microphone array design processes, such as the Array Reduction Method (ARM), are used to optimize array performance.
  • The standard ARM method iteratively reduces array size based on sidelobe and main lobe criteria.
  • A key limitation of the standard ARM is potential main lobe distortion and biased optimization.

Purpose of the Study:

  • To present a modification to the Array Reduction Method (ARM) called the Adaptive Array Reduction Method (AARM).
  • To address the main lobe distortion and criterion favoring issues present in the original ARM.
  • To improve the quality of source image maps generated by microphone arrays.

Main Methods:

  • The Adaptive Array Reduction Method (AARM) is introduced as a modification to the existing ARM.
  • AARM utilizes derivative estimates of maximum sidelobe level and main lobe width concerning the number of microphones removed.
  • It also incorporates estimates of main lobe distortion during the iterative process.

Main Results:

  • The AARM method produces an improved source image map compared to the standard ARM.
  • By considering main lobe distortion, the AARM mitigates issues of disproportionate favoring of optimization criteria.
  • The derivative-based approach allows for a more robust iterative reduction of the microphone array.

Conclusions:

  • The Adaptive Array Reduction Method (AARM) offers a significant improvement over the standard ARM for microphone array design.
  • AARM enhances source imaging by adaptively managing main lobe characteristics during array reduction.
  • This modified approach leads to more accurate and reliable beamformer outputs.