An Adaptive Channel Estimation Based on Fixed-Point Generalized Maximum Correntropy Criterion

Many conventional adaptive channel estimation methods are based on minimum mean square error (MMSE) criterion, maximum correntropy criterion (MCC) or least p-norm criterion. However, these criteria are not always desirable in the presence of the various kinds of noises in different wireless channels...

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Main Authors: Pengcheng Yue, Hua Qu, Jihong Zhao, Meng Wang
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9051848/
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spelling doaj-acd4e28e88f44145892ac9f8c6a853ea2021-03-30T03:18:32ZengIEEEIEEE Access2169-35362020-01-018662816629010.1109/ACCESS.2020.29844949051848An Adaptive Channel Estimation Based on Fixed-Point Generalized Maximum Correntropy CriterionPengcheng Yue0https://orcid.org/0000-0001-6210-169XHua Qu1Jihong Zhao2Meng Wang3School of Electronic and Information Engineering, Xi’an Jiaotong University, Xi’an, ChinaSchool of Electronic and Information Engineering, Xi’an Jiaotong University, Xi’an, ChinaSchool of Software Engineering, Xi’an Jiaotong University, Xi’an, ChinaSchool of Software Engineering, Xi’an Jiaotong University, Xi’an, ChinaMany conventional adaptive channel estimation methods are based on minimum mean square error (MMSE) criterion, maximum correntropy criterion (MCC) or least p-norm criterion. However, these criteria are not always desirable in the presence of the various kinds of noises in different wireless channels. To further enhance the adaptability of the channel estimation to different noises, this paper introduces a new criterion named generalized maximum correntropy criterion (GMCC), and calculates the estimated channel parameters using the fixed-point iteration. The convergence analysis of the fixed-point iteration based on GMCC is discussed theoretically and is verified by experiments. More experiments are implemented to show the steady-state performance of the algorithm under different noise environments and the guide of parameter selection is provided.https://ieeexplore.ieee.org/document/9051848/Channel estimationgeneralized maximum correntropy criterionfixed-point iterationconvergence analysiswireless communication system
collection DOAJ
language English
format Article
sources DOAJ
author Pengcheng Yue
Hua Qu
Jihong Zhao
Meng Wang
spellingShingle Pengcheng Yue
Hua Qu
Jihong Zhao
Meng Wang
An Adaptive Channel Estimation Based on Fixed-Point Generalized Maximum Correntropy Criterion
IEEE Access
Channel estimation
generalized maximum correntropy criterion
fixed-point iteration
convergence analysis
wireless communication system
author_facet Pengcheng Yue
Hua Qu
Jihong Zhao
Meng Wang
author_sort Pengcheng Yue
title An Adaptive Channel Estimation Based on Fixed-Point Generalized Maximum Correntropy Criterion
title_short An Adaptive Channel Estimation Based on Fixed-Point Generalized Maximum Correntropy Criterion
title_full An Adaptive Channel Estimation Based on Fixed-Point Generalized Maximum Correntropy Criterion
title_fullStr An Adaptive Channel Estimation Based on Fixed-Point Generalized Maximum Correntropy Criterion
title_full_unstemmed An Adaptive Channel Estimation Based on Fixed-Point Generalized Maximum Correntropy Criterion
title_sort adaptive channel estimation based on fixed-point generalized maximum correntropy criterion
publisher IEEE
series IEEE Access
issn 2169-3536
publishDate 2020-01-01
description Many conventional adaptive channel estimation methods are based on minimum mean square error (MMSE) criterion, maximum correntropy criterion (MCC) or least p-norm criterion. However, these criteria are not always desirable in the presence of the various kinds of noises in different wireless channels. To further enhance the adaptability of the channel estimation to different noises, this paper introduces a new criterion named generalized maximum correntropy criterion (GMCC), and calculates the estimated channel parameters using the fixed-point iteration. The convergence analysis of the fixed-point iteration based on GMCC is discussed theoretically and is verified by experiments. More experiments are implemented to show the steady-state performance of the algorithm under different noise environments and the guide of parameter selection is provided.
topic Channel estimation
generalized maximum correntropy criterion
fixed-point iteration
convergence analysis
wireless communication system
url https://ieeexplore.ieee.org/document/9051848/
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