Active noise control: a tutorial review
Active noise control (ANC) is achieved by introducing a cancelling "antinoise" wave through an appropriate array of secondary sources. These secondary sources are interconnected through an electronic system using a specific signal processing algorithm for the particular cancellation scheme...
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| Veröffentlicht in: | Proceedings of the IEEE 1999, Vol.87 (6), p.943-973 |
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| container_end_page | 973 |
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| container_title | Proceedings of the IEEE |
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| creator | Kuo, S.M. Morgan, D.R. |
| description | Active noise control (ANC) is achieved by introducing a cancelling "antinoise" wave through an appropriate array of secondary sources. These secondary sources are interconnected through an electronic system using a specific signal processing algorithm for the particular cancellation scheme. ANC has application to a wide variety of problems in manufacturing, industrial operations, and consumer products. The emphasis of this paper is on the practical aspects of ANC systems in terms of adaptive signal processing and digital signal processing (DSP) implementation for real-world applications. In this paper, the basic adaptive algorithm for ANC is developed and analyzed based on single-channel broad-band feedforward control. This algorithm is then modified for narrow-band feedforward and adaptive feedback control. In turn, these single-channel ANC algorithms are expanded to multiple-channel cases. Various online secondary-path modeling techniques and special adaptive algorithms, such as lattice, frequency-domain, subband, and recursive-least-squares, are also introduced. Applications of these techniques to actual problems are highlighted by several examples. |
| doi_str_mv | 10.1109/5.763310 |
| format | Article |
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These secondary sources are interconnected through an electronic system using a specific signal processing algorithm for the particular cancellation scheme. ANC has application to a wide variety of problems in manufacturing, industrial operations, and consumer products. The emphasis of this paper is on the practical aspects of ANC systems in terms of adaptive signal processing and digital signal processing (DSP) implementation for real-world applications. In this paper, the basic adaptive algorithm for ANC is developed and analyzed based on single-channel broad-band feedforward control. This algorithm is then modified for narrow-band feedforward and adaptive feedback control. In turn, these single-channel ANC algorithms are expanded to multiple-channel cases. Various online secondary-path modeling techniques and special adaptive algorithms, such as lattice, frequency-domain, subband, and recursive-least-squares, are also introduced. 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These secondary sources are interconnected through an electronic system using a specific signal processing algorithm for the particular cancellation scheme. ANC has application to a wide variety of problems in manufacturing, industrial operations, and consumer products. The emphasis of this paper is on the practical aspects of ANC systems in terms of adaptive signal processing and digital signal processing (DSP) implementation for real-world applications. In this paper, the basic adaptive algorithm for ANC is developed and analyzed based on single-channel broad-band feedforward control. This algorithm is then modified for narrow-band feedforward and adaptive feedback control. In turn, these single-channel ANC algorithms are expanded to multiple-channel cases. Various online secondary-path modeling techniques and special adaptive algorithms, such as lattice, frequency-domain, subband, and recursive-least-squares, are also introduced. Applications of these techniques to actual problems are highlighted by several examples.</abstract><cop>New York, NY</cop><pub>IEEE</pub><doi>10.1109/5.763310</doi><tpages>31</tpages></addata></record> |
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| ispartof | Proceedings of the IEEE, 1999, Vol.87 (6), p.943-973 |
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| language | eng |
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| source | IEEE Electronic Library (IEL) |
| subjects | Active noise control Active noise reduction Adaptive algorithm Adaptive algorithms Adaptive signal processing Algorithms Applied sciences Arrays Consumer products Detection, estimation, filtering, equalization, prediction Digital signal processing Electrical equipment industry Exact sciences and technology Feedback control Feedforward Information, signal and communications theory Manufacturing industries Noise cancellation Signal and communications theory Signal processing Signal processing algorithms Signal, noise Telecommunications and information theory Tutorial |
| title | Active noise control: a tutorial review |
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