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第 38 卷 第 1 期 李楠等： 一种基于虚拟传感的无需误差传声器的自适应有源降噪方法 91

0.05
ηՂࣨए -0.05 0 ൓ጟᤰ᥋੸үԧၷ

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(a) ͜ፒຉՌ଍҄ᒭᤠऄANCவವښ൓ጟᤰ᥋ԫӑՑᄊሷࠀভ

0.05
ηՂࣨए -0.05 0 ൓ጟᤰ᥋੸үԧၷ

0 2 4 6 8 10 12 14 16 18
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(b) ᘿલ͜ܦ٨ᒭᤠऄANCவವښ൓ጟᤰ᥋ԫӑՑᄊሷࠀভ
图 8 次级通道扰动发生时两种 ANC 方案的算法稳定性
Fig. 8 The robust of two ANC systems when secondary path disturbance occurs

0
-5
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-20
-25 ANCТல
͜ፒຉՌ଍҄ᒭᤠऄANCவವ
-30
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-35
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图 9 ANC 关断和两种 ANC 方案工作三种不同状态下耳机声频信号频响曲线
Fig. 9 Headphone audio signal frequency response curves in three different states
3 结论 tion on Information and Communication Technology,
Electronics and Microelectronics (MIPRO), IEEE, 2016:
本文简单介绍了传统自适应有源降噪耳机，指 1151–1156.
[3] Kuo S M, Morgan D R. Active noise control: a tutorial
出了传统方案中由于误差传声器带来的算法稳定
review[J]. Proceedings of the IEEE, 1999, 87(6): 943–973.
性差、声频信号频响损伤和耳机结构复杂等问题。 [4] Burgess J C. Active adaptive sound control in a duct: a
为解决这一系列问题，本文使用虚拟传感技术，引 computer simulation[J]. Journal of the Acoustical Society
入了基于前馈 FxLMS和反馈IMC混合控制的无需 of America, 1981, 70(3): 715–726.
[5] Rafaely B, Elliott S J. A computationally efficient
误差传声器自适应有源降噪耳机方法，在DSP平台 frequency-domain LMS algorithm with constraints on the
实现了上述有源降噪耳机系统和依赖误差传声器 adaptive filter[J]. IEEE Transaction on Signal Processing
的传统混合控制自适应有源降噪耳机系统，并对比 2000, 48(6): 1649–1655.
[6] Zhang M, Lan H, Ser W. A robust online secondary
了二者的降噪性能、稳定性和声频信号频响。实验 path modeling method with auxiliary noise power schedul-
证明，所提虚拟传感自适应 ANC 方案在实现良好 ing strategy and norm constraint manipulation[J]. IEEE
降噪效果的同时具有更优的稳定性和更少的频响 Transaction on Speech and Audio Processing, 2003, 11(1):
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参 考 文 献
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