A modified FXLMS algorithm for active impulsive noise control

Nowadays, numerous approaches have been introduced in literature for active noise control (ANC) systems. Surveys stated that filtered - x - Least Mean Square (FxLMS) algorithm appears best choice for controller in adaptive filter. The researchers have the tendency to improve its performance by enhan...

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Bibliographic Details
Published in2015 IEEE International WIE Conference on Electrical and Computer Engineering (WIECON-ECE) pp. 222 - 226
Main Authors Saravanan, V., Santhiyakumari, N.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.12.2015
Subjects
active noise control
Adaptive filters
Akthar's algorithm
Algorithm design and analysis
Convergence
Filtering algorithms
FxLMP algorithm
FxLMS algorithm
Impulsive noise
Signal processing algorithms
Stability analysis
Sun
Sun's algorithm
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DOI10.1109/WIECON-ECE.2015.7443902

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Summary:Nowadays, numerous approaches have been introduced in literature for active noise control (ANC) systems. Surveys stated that filtered - x - Least Mean Square (FxLMS) algorithm appears best choice for controller in adaptive filter. The researchers have the tendency to improve its performance by enhancing the existing algorithm modification of step size as well as the structure of the existing method In this paper, a soft threshold based FxLMS algorithm for impulsive noise is proposed. Here threshold selection is based on Stein Unbiased Risk Estimation (SURE). This new algorithm improves the stability by fast convergence in presence of heavy tail impulsive noise. To demonstrate the performance of proposed method, simulation is conducted using MATLAB compared with Akthar's algorithm.
DOI:10.1109/WIECON-ECE.2015.7443902