Preliminary Exploration of Volterra Filter Algorithm in Aircraft Main Wing Vibration Reduction and De-noising Control

  • Chen Yu
  • Shi Kun
  • Wen Xinling
Part of the Communications in Computer and Information Science book series (CCIS, volume 236)


In order to reduce vibration and noising of the aircraft main wing through the active control algorithm, research of non-linear adaptive filter algorithm is very important. This paper carries out variable step-size uncorrelated algorithm study based on traditional Volterra LMS algorithm. Through simulation of weakness and moderate intensity correlation input signal, the improved algorithm achieved good effect, and convergence speed is greatly improved, after 500 times iteration, weight coefficient mean-square error norm (NSWE) can achieve -60dB, but traditional Volterra LMS algorithm can only achieve -6dB, which proved the convergence of the rapidity and precision.


Volterra series LMS non-linear adaptive filter convergence speed convergence precision 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Chen Yu
    • 1
  • Shi Kun
    • 2
  • Wen Xinling
    • 1
  1. 1.Zhengzhou Institute of Aeronautical Industry ManagementChina
  2. 2.Zhengzhou Thermal Power CorporationChina

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