A Novel Hybrid Kernel Adaptive Filtering Algorithm for Nonlinear Channel Equalization

A Novel Hybrid Kernel Adaptive Filtering Algorithm for Nonlinear Channel Equalization

In this paper, a novel kernel mixed error criterion (KMEC) algorithm is proposed for nonlinear system identification, which uses a combination of two different error schemes to implement a newly constructed cost function, which is realized by using a logarithmic squared error and a generalized maxim...

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Bibliographic Details
Main Authors: Qishuai Wu, Yingsong Li, Zhengxiong Jiang, Youwen Zhang
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Kernel adaptive filtering
mixed error criterion algorithm
generalized maximum correntropy
non-Gaussian noise environments
nonlinear adaptive filtering
Online Access:https://ieeexplore.ieee.org/document/8710239/

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