基于FX-LMS结构的主动噪声控制系统改进研究
摘要
随着工业的发展，噪声控制已成为一种实际的需求，在降噪方面进行的研究开发具有重要的现实意义。本文在回顾了主动噪声发展历史的基础上，对现在应用较广泛的基于FX-LMS结构的主动噪声控制系统，在多种情况下做了仿真研究。主要对FX-LMS结构中可能影响系统噪声抵消性能的因素(辅助通道和误差通道)，在典型的背景噪声下，进行了比较研究。针对FX-LMS结构中的辅助通道和误差通道，给主动噪声控制系统滤波性能带来的影响，对系统进行结构
改进研究。为改善基于FX-LMS结构的系统对非平稳背景噪声的抵消性能，在FX-LMS结构的系统中应用了基于QR分解的RLS方法。在多种情况下进行比较研究并得到不错的效果。
As the fast development of modern industry, noise control has become a kind of popular demand. The research on developing the noise controlling products would bring important economic benefit. At first, this paper review the growing course of the technology for noise control, then, it made kinds of emulation for the popular used noise control system based on FX-LMS structure. Using kinds of typical background noise, it studied few of factors in the system which would affect the system's function. It work on the system based on the developed structure for improving the effect due to the second route and error route in the FX-LMS structure. Improving the result of system based on the FX-LMS structure while dealing with non-steady signal, the RLS algorithm based QR decompose has been used in the the FX-LMS structure. More emulation study was made on the system using the RLS algorithm based QR decompose and got satisfying result..
改进研究。为改善基于FX-LMS结构的系统对非平稳背景噪声的抵消性能，在FX-LMS结构的系统中应用了基于QR分解的RLS方法。在多种情况下进行比较研究并得到不错的效果。
As the fast development of modern industry, noise control has become a kind of popular demand. The research on developing the noise controlling products would bring important economic benefit. At first, this paper review the growing course of the technology for noise control, then, it made kinds of emulation for the popular used noise control system based on FX-LMS structure. Using kinds of typical background noise, it studied few of factors in the system which would affect the system's function. It work on the system based on the developed structure for improving the effect due to the second route and error route in the FX-LMS structure. Improving the result of system based on the FX-LMS structure while dealing with non-steady signal, the RLS algorithm based QR decompose has been used in the the FX-LMS structure. More emulation study was made on the system using the RLS algorithm based QR decompose and got satisfying result..
引文
[1] Kai M. Cbung and Issa Panabi "Implementation of DSP-Based Active Noise Control methods on an acoustic duct system", International IC Conference processings
[2] Scott C. Douglas "Fast Implementation of the Filtered-Ⅹ LMS and LMS Algorithms for Multichannel Active Noise Contro" IEEE Transactions on Speech and Audio Processing ,vol. 7. NO. 4. JULY 1999
[3] B. Widrow , D. shur and S. Shaffer, "On adaptive inverse control " ,in pro .15th Asilomar Conf. Circuits , system, and computers, Pacific Grove, CA, Nov. 1981, pp 185—195
[4] S. Haykin , "Adaptive Filter Theory" ,3rd ed. Englewood Cliffs ,NJ:Prentic-Hall 1996
[5] J. G. Mcwhiler, "Recursive least-squares minization using a systolic array", Pro. Of SPIE, Real Time Signal Processing Ⅵ, Vol. 431, pp 105-112,1983
[6] W. H. Gentleman and H.T. Kung, "Matrix triangularization by systolic arrays" ,Pro. Of SPIE, Real Time Signal Processing Ⅳ, Vol. 298, pp 19-26,1981
[7] M. G .Bellanger ," The RLS_QR algorithm for adaptive filtering" Signal Processing ,vol 17 pp 291-304, Aug 1984
[8] H. Leung and S. Haykin, "Stability of recursive QRD-LS algorithms using finite-precision systolic array implementation" IEEE Trans. on Acoustic Speech and Signal Processing ,vol 37, pp, 760-763, May 1989
[9] F. Yu.M. Bouchard "Multichannel Active Noise Control Algorithms using inverse filters" International conference on acousitc speech and signal processing 2000
[10] Martin Bouchard , "Multichannel Recursive-Least_Squares Algorithms and Fast-Transversal-Filter Algorithms for Active Noise Control and Sound Reproduction systems" IEEE Transcations on speech and audio processing .Vol 8 NO 5 september2000
[11] Avinash Ghirnikar and S.T. Alexander, "Stable recursive least squares filtering using an inverse QR decomposition" CH2847-2/90/0000-1623 1990 IEEE
[12] D.H. Crawford, R.W. Stewart and E. TOM, "A Novel adptive IIR filter for active noise control" 0-7803-3192-3/96 1996 IEEE
[13] S.J. Elliott and P.A. Nelson. "A Noise control".IEEE Signal processing Magazine ,Vol. 10(No. 4):pp 12-35, October 1993
[14] D.H. Crawford , R.W. Stewart and E. TOM. "An Alternative and effective adaptive ⅡR filter strucure" IEEE Electronics Letters ,Vol. 31(No. 22): pp 1906-7907, 26th October 1995
[15] Ole Kirkeby, Per Rubak, and Angelo Farina. "Fast Deconvolution Using Frequency-Dependent Regularization" IEEE Trans. SpeechAudio Processing, vol. 6,1998
[16] Martin Bouchard and Scott Norcross . "Computational load reduction of fast
convergence algorithms for multichannel active noie control" signal Processing 83 (2003) 121-134
[17] M. Bouchard and F. Yu. "Inverse structure for active noise control and combined active noise /sound reproduction systems" .IEEE Trans. Speech Audio Process. 9(2)(February 2001 ) 141-151
[19] B. Widrow and E. Walach . "Adaptive Inverse Control" ,Prentice-Hall, Upper Saddle River, NJ ,1996
[20] T. Ausptzer , D. Guicking and S. J. Elliott. "Using a fast-recursive-least-squared algorithm in a feedback controller" in Proc. ieee ASSP Workshop Applications singnal Processing Audio Acoustic, 1995
[21] P. A. Nelson, F. Orduna-Bustamanete, and H. Hamada. "Inverse filter design and equalization zones in mutil-channel sound reproduction" .ieee Trans Speech Audio Processing .Vol 6. pp1-8, jan. 1995
[2] Scott C. Douglas "Fast Implementation of the Filtered-Ⅹ LMS and LMS Algorithms for Multichannel Active Noise Contro" IEEE Transactions on Speech and Audio Processing ,vol. 7. NO. 4. JULY 1999
[3] B. Widrow , D. shur and S. Shaffer, "On adaptive inverse control " ,in pro .15th Asilomar Conf. Circuits , system, and computers, Pacific Grove, CA, Nov. 1981, pp 185—195
[4] S. Haykin , "Adaptive Filter Theory" ,3rd ed. Englewood Cliffs ,NJ:Prentic-Hall 1996
[5] J. G. Mcwhiler, "Recursive least-squares minization using a systolic array", Pro. Of SPIE, Real Time Signal Processing Ⅵ, Vol. 431, pp 105-112,1983
[6] W. H. Gentleman and H.T. Kung, "Matrix triangularization by systolic arrays" ,Pro. Of SPIE, Real Time Signal Processing Ⅳ, Vol. 298, pp 19-26,1981
[7] M. G .Bellanger ," The RLS_QR algorithm for adaptive filtering" Signal Processing ,vol 17 pp 291-304, Aug 1984
[8] H. Leung and S. Haykin, "Stability of recursive QRD-LS algorithms using finite-precision systolic array implementation" IEEE Trans. on Acoustic Speech and Signal Processing ,vol 37, pp, 760-763, May 1989
[9] F. Yu.M. Bouchard "Multichannel Active Noise Control Algorithms using inverse filters" International conference on acousitc speech and signal processing 2000
[10] Martin Bouchard , "Multichannel Recursive-Least_Squares Algorithms and Fast-Transversal-Filter Algorithms for Active Noise Control and Sound Reproduction systems" IEEE Transcations on speech and audio processing .Vol 8 NO 5 september2000
[11] Avinash Ghirnikar and S.T. Alexander, "Stable recursive least squares filtering using an inverse QR decomposition" CH2847-2/90/0000-1623 1990 IEEE
[12] D.H. Crawford, R.W. Stewart and E. TOM, "A Novel adptive IIR filter for active noise control" 0-7803-3192-3/96 1996 IEEE
[13] S.J. Elliott and P.A. Nelson. "A Noise control".IEEE Signal processing Magazine ,Vol. 10(No. 4):pp 12-35, October 1993
[14] D.H. Crawford , R.W. Stewart and E. TOM. "An Alternative and effective adaptive ⅡR filter strucure" IEEE Electronics Letters ,Vol. 31(No. 22): pp 1906-7907, 26th October 1995
[15] Ole Kirkeby, Per Rubak, and Angelo Farina. "Fast Deconvolution Using Frequency-Dependent Regularization" IEEE Trans. SpeechAudio Processing, vol. 6,1998
[16] Martin Bouchard and Scott Norcross . "Computational load reduction of fast
convergence algorithms for multichannel active noie control" signal Processing 83 (2003) 121-134
[17] M. Bouchard and F. Yu. "Inverse structure for active noise control and combined active noise /sound reproduction systems" .IEEE Trans. Speech Audio Process. 9(2)(February 2001 ) 141-151
[19] B. Widrow and E. Walach . "Adaptive Inverse Control" ,Prentice-Hall, Upper Saddle River, NJ ,1996
[20] T. Ausptzer , D. Guicking and S. J. Elliott. "Using a fast-recursive-least-squared algorithm in a feedback controller" in Proc. ieee ASSP Workshop Applications singnal Processing Audio Acoustic, 1995
[21] P. A. Nelson, F. Orduna-Bustamanete, and H. Hamada. "Inverse filter design and equalization zones in mutil-channel sound reproduction" .ieee Trans Speech Audio Processing .Vol 6. pp1-8, jan. 1995