2011 | OriginalPaper | Buchkapitel
Exploration and Research of Volterra Adaptive Filter Algorithm in Non-linear System Identification
verfasst von : Wen Xinling, Ru Yi, Chen Yu
Erschienen in: Information and Management Engineering
Verlag: Springer Berlin Heidelberg
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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 preliminary exploration research on Volterra LMS algorithm and RLS algorithm, compares this two kinds of algorithm in theory. The system parameter in slowly changing can be tracked in using Vloterra adaptive filter algorithm, and through simulation, the convergence speed of RLS algorithm is quicker than LMS algorithm, but it has large amount of calculation. In the future, traditional algorithm will have many shortages such as slow convergence speed and convergence precision, etc because of its complex non-linear characters, which will be the deeper research emphasis.