Abstract
In recent years, the adaptive Volterra filter (AVF) based on discrete Volterra series has been used to identify a nonlinear system, remove nonlinear distortion etc. Since AVF is an extension of the conventional linear digital filters, the algorithms used in linear filters are easily used in AVF, and AVF is sufficiently approximate to the complicated systems due to its general function expansion. However, AVF has a problem that the calculation work becomes extremely large for long memory length, or for filtering high-order nonlinear characteristic. This paper presents a type of parallel adaptive Volterra filter (PAVF) to decrease the calculation complexity. Finally, to illustrate the effectiveness of the proposed method, the results of computer simulation with recursive least squares (RLS) algorithm are presented.
