کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
384437 660846 2012 7 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
A robust evolutionary feedforward active noise control system using Wilcoxon norm and particle swarm optimization algorithm
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
پیش نمایش صفحه اول مقاله
A robust evolutionary feedforward active noise control system using Wilcoxon norm and particle swarm optimization algorithm
چکیده انگلیسی

The conventional filtered-x least mean square (FxLMS) algorithm commonly employed for active noise control (ANC) is sensitive to disturbances acquired by the error microphone and yields poor performance in such scenario. To circumvent this problem, in this paper, a Wilcoxon FxLMS (WFxLMS) algorithm is proposed and used in the design of an efficient ANC which is robust to outliers in the secondary path and immune to burst noise acquired by the error microphone. It is demonstrated through simulation study that under such situation the proposed algorithm outperforms the traditional FxLMS algorithm. A particle swarm optimization (PSO) algorithm based robust ANC system, which does not require the modeling of the secondary path is also derived in the paper. Improved performance of the robust evolutionary ANC system over L2 norm based evolutionary ANC system is also shown.


► FxLMS algorithm based on Wilcoxon norm is robust against outliers in secondary path.
► PSO based ANC systems does not require secondary path modeling.
► Robust evolutionary ANC systems combine both the above advantages.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Expert Systems with Applications - Volume 39, Issue 8, 15 June 2012, Pages 7574–7580
نویسندگان
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