کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
559108 1451722 2016 10 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Diffusion maximum correntropy criterion algorithms for robust distributed estimation
ترجمه فارسی عنوان
الگوریتم های مخرب حداکثر کوانتروپوفی برای توزیع برآورد توزیع شده
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر پردازش سیگنال
چکیده انگلیسی

Robust diffusion adaptive estimation algorithms based on the maximum correntropy criterion (MCC), including adapt then combine MCC and combine then adapt MCC, are developed to deal with the distributed estimation over network in impulsive (long-tailed) noise environments. The cost functions used in distributed estimation are in general based on the mean square error (MSE) criterion, which is desirable when the measurement noise is Gaussian. In non-Gaussian situations, especially for the impulsive-noise case, MCC based methods may achieve much better performance than the MSE methods as they take into account higher order statistics of error distribution. The proposed methods can also outperform the robust diffusion least mean p-power (DLMP) and diffusion minimum error entropy (DMEE) algorithms. The mean and mean square convergence analysis of the new algorithms are also carried out.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Digital Signal Processing - Volume 58, November 2016, Pages 10–19
نویسندگان
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