一种无需次级通道模型的有源噪声控制算法

doi:10.3969/j.issn.1001-2400.2010.02.028

Abstract

Abstract:

The effects of most active noise control algorithms rely on the identification of the secondary path, which usually leads to increased complexity as well as stability problems. Based on the strict positive real (SPR) property of the filtered-x LMS algorithm, a new ANC algorithm requiring no secondary path identification is proposed by introducing a phase compensating mechanism. Simulation results show that this algorithm can automatically find the right compensating phase of the secondary path and will always converge regardless of the noise frequency, compared with the existing method.

Key words: active noise control, adaptive filter, adaptive phase compensation, strict positive real

ZHANG Rui-hua;XIE Zhi-bo. Active noise control system requiring no secondary path identification[J].J4, 2010, 37(2): 340-345+358.

References

［1］ Nelson P A, Elliott S J. Active Control of Sound［M］. San Diego: Academic Press Limited, 1992.
［2］ Widrow B, Shur D, Shaffer S. On Adaptive Inverse Control［C］//Proc 15th Asilomar Conf, Systems and Computers. Pacific Grove: Acoustical Society of America, 1981: 185-189.
［3］ Zhou Dayong, DeBrunner V. Efficient Adaptive Nonlinear Filters for Nonlinear Active Noise Control Nonlinear Active Noise Control［J］. IEEE Trans on Circuits and Systems, 2007, 54(3): 669-681.
［4］张菊香, 邱阳. 基于CMAC的有源噪声控制研究［J］. 西安电子科技大学学报, 2002, 29(5): 615-618.
Zhang Juxiang, Qiu Yang. A Study of Active Noise Control Based on CMAC［J］. Journal of Xidian University, 2002, 29 (5): 615-618.
［5］ Yamada Y, Frantz J P, Kiya H. A Frequency Domain Estimation Algorithm Allowing Broadband Feed Forward Active Noise Control Systems［C］//Digital Signal Processing Workshop, 12th Signal Processing Education Workshop. Wyoming: IEEE, 2006: 360-364.
［6］ Zhou Dayong, DeBrunner V. A New Active Noise Control Algorithm That Requires No Secondary Path Identification Based on the SPR Property［J］. IEEE Trans on Signal Process, 2007, 55(5): 1719-1729.
［7］ Feintuch P L, Bershad N J, Lo A K. Frequency Domain Model For ‘filtered’ LMS Algorithms Stability Analysis, Design, and Elimination of The Training Mode［J］. IEEE Trans on Signal Process, 1993(41): 1518-1531.
［8］ Bjarnason E. Algorithms for Active Noise Cancellation Without Exact Knowledge of The Error-path Filter［C］//Proc IEEE Inte Symp on Circuits and Systems. London: IEEE, 1994: 573-576.
［9］ Kajikawa Y, Nomura Y. Active Noise Control System Without Secondary Path Model［J］. Electron Commun Jap, 2000, 83(3): 47-55.
［10］ Morgan D R. An Analysis of Multiple Correlation Cancellation Loops with a Filter in The Auxiliary Path［J］. IEEE Trans on Acoust, Speech, Signal Process,1980(28): 454-467.
［11］ Wu Ming, Chen Guoyue, Qiu Xiaojun. An Improved Active Noise Control AlgorithmWithout Secondary Path Identification Based on the Frequency-Domain Subband Architecture［J］. IEEE Trans on Audio, Speech, and Language Processing, 2008,16(8):1409-1419.

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Active noise control system requiring no secondary path identification

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