A second order adaptive Volterra filter using a two-stage lattice preprocessor

  • Authors:

  • Peter M. Clarkson;Miroslav V. Dokic

  • Affiliations:

  • Department of Electrical and Computer Engineering, Illinois Institute of Technology, Chicago, IL;Department of Electrical and Computer Engineering, Illinois Institute of Technology, Chicago, IL

  • Venue:
  • ICASSP'93 Proceedings of the 1993 IEEE international conference on Acoustics, speech, and signal processing: digital speech processing - Volume III
  • Year:
  • 1993

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Abstract

LMS adaptive implementations of second order Volterra filters are subject to nonuniform convergence behavior analogous to the eigenvalue disparity effects in the conventional LMS. In the nonlinear filter however, this problem arises both due to the coloration of the data, and due to the impact of nonlinear operations on the data. In this paper we describe a novel lattice structure for a second order adaptive Volterra filter. This algorithm includes a two-stage adaptive orthogonalization which greatly reduces nonuniform convergence effects. The algorithm is relatively simple to implement and has a reasonable computational overhead.