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Combining the remote microphone technique with head-tracking for local active sound control.

Woomin Jung1, Stephen J Elliott1, Jordan Cheer1

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Summary

This study integrates remote microphone technique and head-tracking for active noise control in headrests. Real-time experiments show improved performance in attenuating noise at the listener's ears.

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Area of Science:

  • Acoustics
  • Signal Processing
  • Control Systems Engineering

Background:

  • Active noise control (ANC) systems aim to reduce unwanted sound.
  • Local ANC systems require accurate sound field estimation near the listener.
  • Integrating head-tracking enhances ANC system adaptability to user movement.

Purpose of the Study:

  • To practically integrate the remote microphone technique with a head-tracking device for local active noise control.
  • To evaluate the attenuation performance and stability of an adaptive active headrest system using this integrated approach.
  • To investigate the accuracy of nearfield estimation and the impact of head-tracking on control performance.

Main Methods:

  • Reviewing the formulation for optimized observation filter and nearfield pressure estimation.
  • Studying the performance and stability of an adaptive active headrest system with the remote microphone technique.
  • Conducting real-time experiments to assess nearfield estimation accuracy and head-tracking effects.
  • Selecting a regularization factor for the observation filter balancing accuracy and robustness.

Main Results:

  • Demonstrated practical integration of remote microphone technique and head-tracking in an active headrest system.
  • Investigated the trade-off between accuracy and robustness via the observation filter's regularization factor.
  • Validated the system's ability to estimate and attenuate disturbance signals at the listener's ears in real-time.
  • Showcased the adaptive capability of the active headrest to update responses based on real-time head position.

Conclusions:

  • The integrated system effectively attenuates single tonal disturbance signals at the listener's ears.
  • Head-tracking significantly enhances the performance of local active noise control systems.
  • The chosen regularization factor provides a good balance between estimation accuracy and system robustness.