An output signal based combination of two NLMS adaptive algorithms

  • Authors:
  • Tõnu Trump

  • Affiliations:
  • Department of Radio and Telecommunication Engineering, Tallinn University of Technology, Tallinn, Estonia

  • Venue:
  • DSP'09 Proceedings of the 16th international conference on Digital Signal Processing
  • Year:
  • 2009

Quantified Score

Hi-index 0.00

Visualization

Abstract

This paper studies an affine combination of two NLMS adaptive filters, which is an interesting way of improving the performance of adaptive algorithms. The structure consists of two adaptive filters that adapt on the same input signal, one with a large and the other one with a small step size. Outputs of the individual filters are combined together with help of a parameter λ. Such a combination is capable of achieving fast initial convergence and small steady state error at the same time. In this paper we propose a novel way of computing the combination parameter λ and investigate the performance of the resulting combined algorithm.