Research of Multi-mode Noise suppression based on variable step-size NLMS-Newton algorithm

2012

Closed access Metadata (CSL-JSON)
DOI 10.1109/csqrwc.2012.6294991
Data confidence 70 medium
How this score is calculated

It is built from checkable properties of the record itself: whether the article has a DOI, how many independent sources confirmed its data, whether the required fields are filled in, and how recent the latest confirmation is. Disagreement between sources and a missing identifier lower it. A value of 80 or above means the record was published without further checking; 60 to 79 means it is published at reduced confidence, with a manual check advisable. A record verified by an editor by hand is never pushed below 90 by a recalculation. This scores our data about the article, not the article itself.

Abstract

In reality, there are Multi-mode Noise (as a whole, they are non- Gaussian noise), it causes serious damage and loss to the signals. Traditional LMS algorithm can not suppress the noise well, not only slowing down the convergence, but also occurring a big steady-state error and the offset amount. This paper combined with the advantages of LMS algorithm and the Newton algorithm, to propose the amendment of autocorrelation matrix and take variable step-size which changes by the SNR. Simulation results show that the proposed algorithm in this paper has greatly improved in convergence rate, steady state error and the offset amount. It also can well suppress multi - mode noise to take useful signal.