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

  • Choi, Jeong-Hwan
  • Kim, Jin
  • Nam, Sang Won
Citations

SCOPUS

2

초록

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.

키워드

Adaptive filteringArctangent-cost-functionImpulsive noiseNLMS algorithmVariable-parameterAdaptive filteringAdaptive filtersDigital integrated circuitsEconomic and social effectsImpulse noiseParameter estimationArctangentImproved convergenceImpulsive interferenceMisadjustmentNLMS algorithmTracking capabilityTrade offVariable parametersCost functions
제목
Variable-Parameter Arctangent-Cost-Function Based NLMS Algorithm Robust Against Impulsive Interferences
저자
Choi, Jeong-HwanKim, JinNam, Sang Won
DOI
10.1109/ICNIDC.2018.8525530
발행일
2018-11
유형
Conference Paper
저널명
Proceedings of 2018 6th IEEE International Conference on Network Infrastructure and Digital Content, IC-NIDC 2018
페이지
265 ~ 268