Please use this identifier to cite or link to this item: http://hdl.handle.net/11455/2859
標題: 應用最佳可變步階與輔助噪音功率調整於帶線上回授路徑鑑別的主動噪音控制系統
Optimal Variable Step-Size and Auxiliary Noise Power Scheduling for Active Noise Control Systems with Online Feedback Path Modeling
作者: 黃士展
Huang, Shih-Jhan
關鍵字: 主動噪音控制;Active Noise Control;線上回授路徑鑑別;最佳可變步階;輔助噪音功率調整;Online Feedback Path Modeling;Optimal Variable Step-Size;Auxiliary Noise Power Scheduling
出版社: 機械工程學系所
引用: [1] Lueg, P., “Process of Silencing Sound Oscillations”, U.S. Patent, No.2043416, 1936. [2] Widrow, B. and Hoff, M. E., “Adaptive Switching Circuits”, IRE WESCON Conv. Rec, part4, pp. 96-104, 1960. [3] Burgess, J. C., “Active Adaptive Sound Control in a Duct: A Computer Simulation”, J. Acoust. Soc. Am., Vol. 70, pp. 715-726, 1981. [4] Kuo, S. M. and Morgan, D. R., Active Noise Control Systems: Algorithms and DSP Implementations, 605 Third Avenue, New York, 10158-0012, 1996. [5] Elliott, S. J., Signal Processing for Active Noise Control, London, U.K.: Academic, 2001. [6] Liao, Ching-Wen and Lin, John-Yih, “New FIR filter-based adaptive algorithm incorporating with commutation error to improve active noise control performance”, Automatica, ScienceDirect, Vol. 43, pp. 325-331, 2007. [7] Kuo, S. M. and Luan, J., “On-line modeling and feedback compensation for multiple-channel active noise control systems”, Appl. Signal Process., Vol. 1, No. 2,pp. 64-75, 1994. [8] Kuo, S. M., “Active Noise Control System and Method for On-Line Feedback Path Modeling”, U. S. Patent 6,418,227,Jul. 9,2002. [9] Akhtar, M. T., Abe, M. and kawamata, M. M., “On Active Noise Control Systems with Online Acoustic Feedback Path Modeling”, IEEE Transaction on Audio, Speech and language Processing, Vol. 15,No. 2,pp. 593-600, Fed. 2007 [10] Mehmood, Z., Tufail, M., Ahmed, S., “A new variable step size method for online feedback path modeling in active noise control systems” in 13th INMIC. On Signal Process, pp.1-6, 2009. [11] 沈建宏,應用可變步階的方法於主動噪音控制系統中的線上回授路徑建模,國立中興大學機械工程研究所,碩士論文,2010。 [12] Kwong, R. H. and Johnston, E. W., “A Variable Step Size LMS Algorithm”, IEEE Trans, Signal Process., Vol. 40, No. 7, pp. 1633-1642, 1992. [13] Mader, A., Puder, H. and Schmidt, G. U., “Step-size control for acoustic echo cancellation filters – an overview, Signal Processing, Vol. 80, No. 9, pp. 1697-1719,2000. [14] Shin, H. C., Sayed, A. H. and Song, W. J., “Variable Step-Size NLMS and Affine Projection Algorithms”, Signal Process Letters, IEEE, Vol. 11, No. 2, pp. 132-135, 2004. [15] Haweel, T. I., “A simple variable step size LMS adaptive algorithm”, Wiley InterScience, Vol. 32, pp. 523-536, 2004. [16] Benesty, J., Rey, H., Vega, L. R. and Tressens, S., “A Nonparametric VSS NLMS Algorithm”, Signal Process Letters, IEEE, Vol. 13, No. 10, pp. 581-584, 2006. [17] Zhao, S., Man, Z., Khoo, S. and Wu, H. R., “Variable step-size LMS algorithm with a quotient form”, ScienceDriect Signal Processing, Vol. 89, pp. 67-76, 2009. [18] 王清玄,最佳可遍步長NLMS演算法應用於主動噪音控制系統的線上第二路徑鑑別,國立中興大學機械工程研究所,碩士論文,2012。 [19] Zhang, M., Lan, H. and Ser, W., , “A Robust Online Secondary Path Modeling Method With Auxiliary Noise Power Scheduling Strategy and Norm Constraint Manipulation , "Speech and Audio Processing, IEEE Transactions on, Vol.11, No.1, pp.45,53, Jan 2003 [20] Carini, A., Malatini, S., “Optimal Variable Step-Size NLMS Algorithms With Auxiliary Noise Power Scheduling for Feedforward Active Noise Control, ”Audio, Speech, and Language Processing, IEEE Transactions on, Vol.16, No.8, pp.1383-1395, Nov. 2008. [21] Sun, X. and Chen, D. S., “A New Infinite Impulse Response Filter-Based Adaptive Algorithm For Active Noise Control”, ScienceDriect, Vol. 258, pp. 385-397, 2002.
摘要: 
在實際情況下的主動噪音控制系統為雙麥克風的架構,由參考麥克風和誤差麥克風所組成的。在主動噪音控制中參考麥克風不只會量到噪音的部分,也會量測到控制喇叭經過聲管回傳的訊號而引起聲音回授的問題。在一般的FxLMS演算法並未考慮聲音回授補償,因此降低了主動噪音控制系統的性能,更糟的情況可能使得主動噪音控制系統變得不穩定。為了解決聲音回授的問題,本文使用文獻上提出的線上回授路徑鑑別觀念,以及應用最佳可變步階演算法於鑑別器與控制器,來進行線上回授路徑鑑別與對參考麥克風所量測到的訊號進行聲音回授補償,因此提升主動噪音控制系統的性能。為了讓系統有更好的消音性能,本文加入輔助噪音功率調整,用來讓鑑別訊號隨著誤差訊號減小而減小,以降低鑑別訊號對消音性能的影響,並提升整體消音性能。在電腦模擬中與既有的方法進行比較得知本文的方法有較好的消音性能。

In practical case of active noise control (ANC) system structure for the dual microphones, by the reference microphone and the error microphone composed. The reference microphone will pick up a signal from the feedback path of the ANC system, causing the acoustic feedback problem. In general the FxLMS algorithm does not consider the acoustic feedback compensation, thus reducing the active noise control system performance, worse case may make active noise control system becomes unstable. To solve the problem of acoustic feedback, we use literature proposed the concept of online feedback path identifying and applying an optimal variable step size algorithms for identifier and controller, used to online feedback path identification and the reference microphone the measured signals for acoustic feedback compensation, therefore improve the performance of active noise control system. For the system have a better performance, we add auxiliary noise power scheduling, used to identification signal decreases follow the error signal is reduced, identification signals to reduce the impact on performance, and improve overall performance. In the computer simulation are compared with existing methods that the proposed method has better performance.
URI: http://hdl.handle.net/11455/2859
其他識別: U0005-2608201317301100
Appears in Collections:機械工程學系所

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