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Area of Science:

  • Acoustics
  • Signal Processing
  • Sensor Technology

Background:

  • Acoustic vector-sensors use orthogonally oriented particle-velocity and pressure sensors for direction-of-arrival estimation.
  • Traditional vector-sensors require precise spatial collocation of all components in a point-like geometry.
  • This collocation requirement limits practical applications and achievable accuracy.

Purpose of the Study:

  • To propose a spatially distributed acoustic vector-sensor design.
  • To relax the strict spatial-collocation constraint of traditional acoustic vector-sensors.
  • To enhance direction-finding accuracy and extend spatial aperture.

Main Methods:

  • Development of a theoretical framework for a spatially distributed acoustic vector-sensor.
  • Relaxation of the spatial-collocation requirement for component sensors.
  • Leveraging algorithmic advantages of self-normalization for direction-of-arrival estimation.

Main Results:

  • Demonstration of a spatially distributed acoustic vector-sensor concept.
  • Preservation of the self-normalization direction-of-arrival estimation algorithm's benefits.
  • Significant extension of the spatial aperture leading to orders-of-magnitude improvement in direction-finding accuracy.

Conclusions:

  • The proposed spatially distributed acoustic vector-sensor overcomes the limitations of traditional collocated designs.
  • This approach offers superior direction-finding performance by increasing the effective spatial aperture.
  • The technology holds promise for advanced acoustic wavefield analysis and emitter localization.