VISION-GUIDED SECONDARY-PATH MODEL UPDATING FOR PLAYBACK-REFERENCED ACTIVE HEADREST NOISE CONTROL
Keywords:
Active headrest, Active noise control, Playback-referenced control, Secondary-path model updating, Vision-guided ear trackingAbstract
Time-varying secondary paths induced by head motion can introduce filtered-x mismatch and degrade the stability margin and usable attenuation bandwidth of active headrest noise control. This article proposes a vision-guided secondary-path model updating method for playback-referenced active headrest noise control. A monocular camera provides latency-compensated three-dimensional ear positions, from which ear–loudspeaker distances are estimated to update the internal secondary-path models through an equivalent delay shift and amplitude scaling of nominal impulse responses. The updated models are injected into filtered-x generation and normalised adaptation, while the underlying controller structure remains unchanged. To evaluate the proposed method under controlled dynamic conditions, a synchronised offline replay protocol is adopted, in which the electrical playback reference and binaural error signals are logged under a common hardware clock and replayed for repeatable comparisons. Experiments on a semi-anechoic active headrest platform in the 80–800 Hz band with a 3 dB criterion show that the proposed update enlarges the maximum stable step size by 67%–300% and improves attenuation continuity, yielding a median threshold-bandwidth gain of approximately 10–90 Hz depending on the condition.References
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