A novel normalized sign algorithm for system identification under impulsive noise interference
Abstract
To overcome the performance degradation of adaptive filtering algorithms in the presence of impulsive noise, a novel normalized sign algorithm (NSA) based on a convex combination strategy, called NSA-NSA, is proposed in this paper. The proposed algorithm is capable of solving the conflicting requirement of fast convergence rate and low steady-state error for an individual NSA filter. To further improve the robustness to impulsive noises, a mixing parameter updating formula based on a sign cost function is derived. Moreover, a tracking weight transfer scheme of coefficients from a fast NSA filter to a slow NSA filter is proposed to speed up the convergence rate. The convergence behavior and performance of the new algorithm are verified by theoretical analysis and simulation studies.
Cite
@article{arxiv.1505.07569,
title = {A novel normalized sign algorithm for system identification under impulsive noise interference},
author = {Lu Lu and Haiquan Zhao and Kan Li and Badong Chen},
journal= {arXiv preprint arXiv:1505.07569},
year = {2015}
}
Comments
This paper has been accepted by Circuits, Systems, and Signal Processing. pp 1-22, First online: 17 November 2015