DocumentCode :
1507166
Title :
Active noise control: a tutorial review
Author :
Kuo, Sen M. ; Morgan, Dennis R.
Author_Institution :
Dept. of Electr. Eng., Northern Illinois Univ., DeKalb, IL, USA
Volume :
87
Issue :
6
fYear :
1999
fDate :
6/1/1999 12:00:00 AM
Firstpage :
943
Lastpage :
973
Abstract :
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
Keywords :
acoustic signal processing; active noise control; adaptive signal processing; active noise control; adaptive feedback control; adaptive signal processing; antinoise wave; broad-band feedforward control; digital signal processing; electronic system; frequency domain algorithm; lattice algorithm; multiple-channel ANC algorithm; narrow-band feedforward control; noise cancellation; online secondary path model; recursive least squares algorithm; secondary source; single-channel ANC algorithm; subband algorithm; Active noise reduction; Adaptive algorithm; Adaptive signal processing; Consumer products; Digital signal processing; Electrical equipment industry; Manufacturing industries; Noise cancellation; Signal processing algorithms; Tutorial;
fLanguage :
English
Journal_Title :
Proceedings of the IEEE
Publisher :
ieee
ISSN :
0018-9219
Type :
jour
DOI :
10.1109/5.763310
Filename :
763310
Link To Document :
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