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An active feedforward headrest system using virtual sensing method based on auxiliary microphone and relative path

delete2026-05-09
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PRE
AI
T
Tian Zhang
N
Ning Han *
Z
Zhehua Duan
DOI:10.1016/j.ymssp.2026.114373delete
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Abstract

Abstract

En 中文
The virtual sensing (VS) method is designed to address the challenge of placing error microphones in the target zone of active noise control (ANC) systems, where direct placement is often impractical. The most commonly used virtual sensing methods can be broadly categorized into two types: the remote microphone technique (RMT-VS) and the auxiliary filter (AF-VS) method. The remote microphone technique estimates the error signal using remote microphones placed at a distance, while the auxiliary filter method retains the optimal filter for achieving maximum noise reduction and allows flexible filter adjustments according to different scenarios. However, when the acoustic paths change, the pre-established filters become invalid, and traditional virtual sensing methods are unable to effectively attenuate noise due to its inability to adapt to such variations. This paper proposes a novel auxiliary microphone and relative path based virtual sensing (AMRP-VS) method, which utilizes an auxiliary microphone positioned near the target zone to achieve noise attenuation. Meanwhile, it eliminates the impact of the secondary path on the modeling of the auxiliary filter in the AF-VS method. Theoretical analysis demonstrates that, under invariant acoustic paths, the proposed method can achieve the same noise reduction performance as traditional virtual sensing methods. Moreover, when acoustic paths vary, the proposed AMRP-VS method exhibits a certain degree of robustness. An active headrest system is built up to verify the effectiveness of the AMRP-VS method. Simulations and experiments show that the AMRP-VS method has superior performance in dealing with changing paths and noise situations.
Keywords:
virtual sensing
active noise control
auxiliary microphone
relative path
adaptive filtering

Journal

Mechanical Systems and Signal Processing cover
Mechanical Systems and Signal Processing
IF:
8.9
Papers:
1.2W
Citations:
6.6W

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