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

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 236))

Abstract

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.

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References

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© 2011 Springer-Verlag Berlin Heidelberg

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Yu, C., Kun, S., Xinling, W. (2011). Preliminary Exploration of Volterra Filter Algorithm in Aircraft Main Wing Vibration Reduction and De-noising Control. In: Zhu, M. (eds) Information and Management Engineering. ICCIC 2011. Communications in Computer and Information Science, vol 236. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24097-3_11

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  • DOI: https://doi.org/10.1007/978-3-642-24097-3_11

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-24096-6

  • Online ISBN: 978-3-642-24097-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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