Variable-Parameter Arctangent-Cost-Function Based NLMS Algorithm Robust Against Impulsive Interferences

In this paper, a variable-parameter arctangent-cost-function based NLMS (VP-Arc-NLMS) robust against impulsive interferences is proposed to solve the trade-off between tracking capability and low misadjustment. In particular, the energy of the filter update is controlled to be constrained by the max...

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Bibliographic Details
Published inIEEE International Conference on Network Infrastructure and Digital Content pp. 265 - 268
Main Authors Choi, Jeong-Hwan, Kim, Jin, Nam, Sang Won
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.08.2018
Subjects
Adaptive filtering
Adaptive filters
Arctangent-cost-function
Convergence
Cost function
Filtering algorithms
Impulsive noise
NLMS algorithm
Robustness
Signal processing algorithms
Steady-state
Variable-parameter
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ISBN9781538660669
1538660660
ISSN2575-4955
DOI10.1109/ICNIDC.2018.8525530

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Summary:In this paper, a variable-parameter arctangent-cost-function based NLMS (VP-Arc-NLMS) robust against impulsive interferences is proposed to solve the trade-off between tracking capability and low misadjustment. In particular, the energy of the filter update is controlled to be constrained by the maximum of the variable-parameter cost function. Finally, improved convergence and MSD performances of the proposed VP-Arc-NLMS are verified by considering system identification in an impulsive interference environment.
ISBN:9781538660669
1538660660
ISSN:2575-4955
DOI:10.1109/ICNIDC.2018.8525530