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http://hdl.handle.net/11455/1600| 標題: | 可變步長演算法於有無干擾之主動噪音控制系統的研究 A study of Variable Step-Size Algorithms in Active Noise Control Systems with or without Disturbance |
作者: | 林威廷 Lin, Wei-Ting |
關鍵字: | Active Noise Control;主動噪音控制;Variable Step-Size;可變步長 | 出版社: | 機械工程學系所 | 引用: | [1] Widrow, B. and Hoff, M. E., “Adaptive Switching Circuits”, IRE WESCON Conv. Rec, part4, pp. 96-104, 1960. [2] Widrow, B. and Glover, J. R., McCool, J. M., et al., “Adaptive Noise Cancelling: Principles and applications”, Proc. IEEE, Vol. 63, pp. 1692-1716, Dec. 1975. [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] Kwong, R.H. and Johnston, E.W., “A Variable Step Size LMS Algorithm”, IEEE Transactions on Signal Processing, Vol. 40, No. 7, JULY, 1992. [7] Aboulnasr, T. and Mayyas, K., “A Robust Variable Step-size LMS-type Algorithm: Analysis and Simulations”, IEEE Transactions on Signal Processing, Vol. 45, No. 3, pp. 631–639, March 1997. [8] Zou Kun and Zhao Xiubing, “A New Modified Robust Variable Step Size LMS Algorithm”, Industrial Electronics and Applications, 2009. ICIEA 2009. 4th IEEE Conference, pp.2699-2703, 2009 [9] Qin Jing-fan and Ouyang Jing-zhen, “A New Variable Step Size Adaptive Filtering Algorithm”, Data Collecting and Processing, Vol. 12, No. 3, pp.171-194, 1997 [10] Gao Ying and Xie Sheng-li, “A Variable Step Size LMS Adaptive Filtering Algorithm and Its analyses”, ACTA Electronica Sinica, Vol. 29, No. 8, pp. 1094-1097, 2001 [11] Shao Wei, Yu Yujiang and Qian Zuping, “An Effective Variable Step Size CS-LMS Algorithm for Adaptive Beamforming”, IEEE Signal Processing Systems, Vol. 1, pp. 416-419, 2010 [12] Feng Cunqian, Zhang Linrang and Hui Xiaoping, “A New Adaptive Filtering Algorithm Based on Discrete Wavelet Transforms”, IEEE Image and Signal Processing, Vol. 7, pp. 3284-3286, 2010 [13] Tsuda, Y. and Shimamura, T., “An Improved NLMS Algorithm for Channel Equalization”, Circuits and Systems, 2002. ISCAS 2002. IEEE International Symposium, Vol. 5, pp. 353-356, 2002 [14] Shin, H. C., Sayed, A. H. and Song, W. J., “Variable Step-Size NLMS and Affine Projection Algorithms”, Signal Process Letters, IEEE, 2004. [15] 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. [16] Takekawa, H., Shimamura, T. and Jimaa, S., “An Efficient and Effective Variable Step Size NLMS Algorithm”, Signals, Systems and Computers, 2008 42nd Asilomar Conference, pp.1640-1643, 2008 [17] 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. [18] 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. [19] 簡家安，可變步階的串聯演算法於主動噪音控制系統之應用，國立中興大學機械工程研究所，碩士論文，2010 [20] 黃靜宜，狹帶延遲類神經網路於主動噪音控制之應用，國立中興大學機械工程研究所，碩士論文，2006 | 摘要: | 主動噪音控制系統在實際應用中，環境的改變將會影響主動噪音控制的性能。為了處理環境改變的問題，本文提出了兩種可變步長正規化LMS演算法，一種是以殘留誤差直接調整步長的型式，另一種是以適應性方法更新步長的型式。並以一個已建立的決定論方法進一步分析可變步長正規化演算法，使得分析出的條件在主動噪音控制中能確保演算法可以收斂。而在電腦模擬中，我們考慮四種情況，包含改變主噪音源之振幅、改變主噪音源之頻率、改變第一路徑或改變第二路徑的情況。由模擬結果可得知，應用本文所提出的可變步長演算法於這些環境改變的情況之下，可以有效保持主動噪音控制之消音性能，並實現演算法的可行性。 In practical active noise control (ANC) systems, environmental changes will affect ANC performance. This study proposes two kinds of variable step sizes (VSSs) for the normalized LMS (NLMS) algorithms to deal with the problems caused by environmental changes. One uses a residual error directly to tune step size, while another uses an adaptive method to update step size. A deterministic method is then established to analyze the VSS-based NLMS algorithms such that conditions to ensure convergence of the algorithms in ANC systems can be derived. Four kinds of environmental changes, including change in amplitudes of the primary noise, change in frequencies of the primary noise, change of the primary path, and change of the secondary path, are considered in computer simulations. Simulation results show that the VSS-based algorithms can maintain effective ANC performance under these environmental changes and thus support the feasibility of the proposed VSSs. |
URI: | http://hdl.handle.net/11455/1600 | 其他識別: | U0005-1908201112311900 |
| Appears in Collections: | 機械工程學系所 |
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