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改进的滤波-e LMS算法 被引量:1

An Improved Filtered-e LMS Algorithm
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摘要 针对有源噪声控制中次级通路为非最小相位系统的情况,提出一种改进的滤波-e算法。该算法采用次级通路传递函数的逆来构建误差滤波器,依据Shannon-Bode方法将误差滤波器分解为白化滤波器和非因果滤波器,并对其进行改进从而构建一个物理可实现的滤波器,再将获得的误差信号通过该误差滤波器后对控制器的权系数进行更新。仿真实验表明,改进后的算法不仅可以提高系统的稳定性和降噪量还可以减少系统的超量均方误差,较传统的滤波-e算法在性能上有明显改进。 Because the secondary-path is a non-minimum phase system in the active noise control, an improved filtered-e LMS algorithm is presented in which the inverse of the secondary-path transfer function is adopted to construct an error filter. According to the Shannon-Bode theory, the error filter is decomposed into a whitening filter and a non-causal filter which can be modified to build a physical realized filter. The acquired error signal filtered by the error filter is used to update the weight parameters of the active controller. The simulation results show that the modified algorithm can not only improve the stability and noise reduction but also reduce the excess squared residual noise. It is indicated that there is obvious improvement compared with the traditional fihered-e algorithm.
出处 《电声技术》 2008年第2期67-70,共4页 Audio Engineering
关键词 有源噪声控制 滤波-e算法 非最小相位系统 active noise control filtered-e LMS algorithms non-minimum phase system
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参考文献8

  • 1WAN E A. Adjoint LMS:an efficient alternative to the fihered-X LMS and multiple error LMS algorithms[C]// Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing. [S.I.]:IEEE Press, 1996:1 842-1 845.
  • 2POPOVICH S R. A simplified parameter update for identification of multiple input, multiple output systems[C]// Proceedings of International Cong. Noise Control Eng., Part 2. [S.I.]:[s.n.],1994:1 229-1 232.
  • 3MIYAGI S, SAKAI H. Performance comparison between the filtered-error LMS and the fihered-x LMS algorithm[J]. IEEE Trans. on Circuits and Systems,2001:661-664.
  • 4DE BRUUNER V E, ZHOU Da-yong. Hybrid filter error LMS algorithm:another alternative to filtered-x LMS[J]. IEEE Trans. on Circuits and Systems,2006,53(3):653- 661.
  • 5于华民,朱海潮,施引.自适应逆控制FXLMS算法有源噪声控制仿真研究[J].海军工程大学学报,2003,15(5):22-25. 被引量:9
  • 6张贤达.现代信号处理[M].北京:清华大学出版社,1994..
  • 7WINDROW B,WALACH E.自适应逆控制[M].刘树棠,韩崇昭,译.西安:西安交通大学出版社,2000.
  • 8梁正炎,曾庆宁.多通道有源噪声控制算法的仿真研究[J].电声技术,2006,30(3):52-54. 被引量:5

二级参考文献17

  • 1[1]Widrow B, Schur D, Shaffer S. On adaptive inverse control [A]. In Proc. 15th Asilomar Conf. [C]. USA: Santa Clara,1981.
  • 2[2]Burgess J C. Active adaptive sound control in a duct: a computer simulation [J]. J. Acoust. Amer.,1981,70(9):715-726.
  • 3[3]Esch J. Prolog to active noise control systems--algorithms and DSP implementation [J]. Proceedings of the IEEE, 1999,87(6):941-942.
  • 4[4]Freudendurg J S. Right half plane poles and zero design tradeoffs in feedback systems [J]. IEEE transactions on automatic control, 1985,AC-30:555-565.
  • 5[5]Miu D K. Physical interpretation of transfer function zeros for simple control systems with mechanical flexibilities[J]. Journal of Dynamic System Measurement and Control, 1991,113:419-424.
  • 6[6]Bouchard M, Paillard B, Dinh C T L. Improved training of neural networks for the nonlinear active noise control of sound and vibration [J]. IEEE transactions on neural networks, 1999,10(2):391-401.
  • 7[7]Strauch P, Mulgrew B. Active control of nonlinear noise processes in a linear duct [J]. IEEE transactions on signal processing, 1998,46(9):2404-2412.
  • 8[8]Bai M R, Chen H P. Development of a feedforward active noise control system by using the H2 and H∞model matching principle [J]. Journal of Sound and Vibration, 1997,201(2):189-204.
  • 9[11]Nelson P A, Elliot S J. Active Control of Sound [M]. London: Academic Press,1992.
  • 10[12]Kuo S M, Morgan D R. Active Noise Control Systems [M]. New York: John Wiley and Sons,1996.

共引文献63

同被引文献6

  • 1Bouchard M_ Multichannel affine and fast affine projectionalgorithms for active noise control and acousticequalization systems[J]. Speech and Audio Processing,2003,11(1):54-60.
  • 2Tan L, Jiang J. Adaptive Volterra filters for active controlof nonlinear noise processesfJ]. Signal ProcMsiiig, 2001,49(8), 1667-1676.
  • 3Das D P, Panda G. Active mitigation of nonlinear noiseprocesses using a novel filtered- s LMS algorithm[J].Speech and Audio Processing,2004,12(3), 313-322.
  • 4Bouchard M, Albu F. The multichannel Gauss- Seidel fastaffine projection algorithm for active noise control[A],Signal Processing and Its Applications, 2003 Proceedings[C], 2003,2:579-582.
  • 5Gay S.L, Tavathia S. The fast affine projection algorithm[J]. Acoustics, Speech and Signal Processing, 1995,5:3023-3026.
  • 6Ding H. A stable fast affine projection adaptation algorithmsuitable for low-cost processors[J]. Acoustics’ Speech, andSignal Processing, 2000,1:360-363.

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