Variable step-size non-negative normalised least-mean-square-type algorithm
SCIE
SCOPUS
- Title
- Variable step-size non-negative normalised least-mean-square-type algorithm
- Authors
- Jung, SM; Seo, JH; Park, P
- Date Issued
- 2015-10
- Publisher
- INST ENGINEERING TECHNOLOGY-IET
- Abstract
- This paper proposes a fast and precise adaptive filtering algorithm for online estimation under a non-negativity constraint. A novel variable step-size (VSS) non-negative normalised least-mean-square (NLMS)-type algorithm based on the mean-square deviation (MSD) analysis with a non-negativity constraint is derived. The NLMS-type algorithm under the non-negativity constraint is derived by using the gradient descent of the given cost function and the fixed-point iteration method. Furthermore, the VSS derived by minimising the MSD yields improvement of the filter performance in the aspects of the convergence rate and the steady-state estimation error. Simulation results show that the proposed algorithm outperforms existing algorithms.
- URI
- https://oasis.postech.ac.kr/handle/2014.oak/35679
- DOI
- 10.1049/IET-SPR.2014.0122
- ISSN
- 1751-9675
- Article Type
- Article
- Citation
- IET SIGNAL PROCESSING, vol. 9, no. 8, page. 618 - 622, 2015-10
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