DeepAI AI Chat
Log In Sign Up

Diffusion Maximum Correntropy Criterion Algorithms for Robust Distributed Estimation

by   Wentao Ma, et al.

Robust diffusion adaptive estimation algorithms based on the maximum correntropy criterion (MCC), including adaptation to combination MCC and combination to adaptation 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, such as 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.


page 1

page 2

page 3

page 4


Weighted diffusion LMP algorithm for distributed estimation in non-uniform noise conditions

This letter presents an improved version of diffusion least mean ppower ...

Channel Parameter Estimation in the Presence of Phase Noise Based on Maximum Correntropy Criterion

Oscillator output generally has phase noise causing the output power spe...

Nonlinear Equalization for Optical Communications Based on Entropy-Regularized Mean Square Error

An entropy-regularized mean square error (MSE-X) cost function is propos...

Maximum Total Correntropy Diffusion Adaptation over Networks with Noisy Links

Distributed estimation over networks draws much attraction in recent yea...

CDDM: Channel Denoising Diffusion Models for Wireless Communications

Diffusion models (DM) can gradually learn to remove noise, which have be...

Broad Learning System Based on Maximum Correntropy Criterion

As an effective and efficient discriminative learning method, Broad Lear...

Multi-kernel Correntropy-based Orientation Estimation of IMUs: Gradient Descent Methods

This paper presents two computationally efficient algorithms for the ori...