以TI TMS320C6713 DSP實現卡爾曼濾波器於主動式管路減噪

黃玠理

doi:10.6841/NTUT.2008.00493

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以TI TMS320C6713 DSP實現卡爾曼濾波器於主動式管路減噪

A Kalman Filter Approach to Active Duct Noise Control Using TI TMS320C6713 DSP

黃玠理 , Masters　　Advisor：蕭俊祥　　

繁體中文 DOI： 10.6841/NTUT.2008.00493

卡爾曼濾波器； IIR濾波器； FIR濾波器； FXLMS演算法；回授式主動減噪； Kalman filter ； IIR filter ； FIR filter ； FXLMS algorithm ； Feedback active noise control

Abstract │ Reference (26) │ Times Cited (3) │ Altmetrics

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In this paper a Kalman filter fitted in the feedback active noise control system is derived for suppressing duct noise. The secondary path of a duct noise system is modeled by an IIR filter, whereas the controller filter is modeled by an FIR filter. The secondary path dynamics is obtained by off-line system identification technique. The controller FIR filter is tuned on-line by the developed Kalman algorithm. Computer simulations show that Kalman algorithm outperforms the FXLMS algorithm in minimizing the duct noise, especially for broadband noise. To verify the effectiveness of the Kalman algorithm, experiments are conducted for duct noise suppression. 
A TI TMS320C6713 DSP is used for implementing the complex Kalman algorithm. While the Kalman algorithm and the FXLMS algorithm may have comparable performance is reducing pure-tone duct noise, noises with two-tone or more (even the broadband noise) can be shown experimentally to be reduced more by using the Kalman algorithm than the FXLMS algorithm. The experimental results indicated that up to 30dB and 20dB noise reduction was obtained for two-tone and three-tone noise respectively with the application of Kalman algorithm, while an average 3.3dB noise reduction for the broadband noise was observed. Finally, duct noise originated from a blower is used, the Kalman algorithm is shown to achieve a noise suppression of 7.5dB, better than the FXLMS algorithm does.

Reference ( 26 ) 〈TOP〉

[1] S.M.Kuo and D.R.Morgan, Active Noise Control System, John Wiley & Sons, Inc., U.S.A., 1996.
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[2] S.M.Kuo and D.R.Morgan, "Active Noise Control : A Tutorial Review," Proceedings of the IEEE, vol.87, Issue 6, June 1999, pp.943-973.
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[4] Rulph Chassaing, Digital Signal Processing and Applications with the C6713 and C6416 DSK, John Wiley & Sons, 2005.
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[7] J.C. Burgess, "Active Adaptive Sound Control in a duct: A Couputer Sinulation", J. Acoustics. Soc. Am., vol. 70, no. 3, 1981, pp. 715-726.
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[8] R. E. Kalman, "A New Approach to Linear Filtering and Prediction Problems", Transactions of the ASME - Journal of Basic Engineering Vol. 82, 1960, pp. 35-45.
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