Nonlinear Acoustic Echo Cancellation Based on Multichannel Adaptive Filters: A Novel Approach
- 21 Downloads
This paper presented a new class of non-linear adaptive filters, whose structure is based on Hammerstein model. Such filters designed from the functional link adaptive filter (FLAF) model, described by a non-linear input expansion which develops the illustration of the input signal through a projection in a higher dimensional space and a subsequent adaptive filtering. In order to give toughness against different degrees of non-linearity, a collaborative FLAF is proposed based on the adaptive combination of filters. Such architecture provided the best performance regardless of the nonlinearity degree in the echo path. Particularly this architecture can accomplish the linear and non-linear filters. Such as Normalized least mean square algorithm using FDAF, Affine projection and Lattice filters are used. When comparing their Echo return loss enhancement performance, Affine projection algorithm gives 20 dB more than others in this work.
KeywordsNon-linear adaptive filter model Normalized least mean square Affine projection and echo return loss enhancement
- 7.Malik, S., & Enzner, G. (2003). State-space frequency-domain adaptive filtering for nonlinear acoustic echo cancellation. IEEE Transactions on Audio, Speech and Language Processing, 11(6), 2065–2079.Google Scholar