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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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/ |
work_keys_str_mv |
AT pengchengyue anadaptivechannelestimationbasedonfixedpointgeneralizedmaximumcorrentropycriterion AT huaqu anadaptivechannelestimationbasedonfixedpointgeneralizedmaximumcorrentropycriterion AT jihongzhao anadaptivechannelestimationbasedonfixedpointgeneralizedmaximumcorrentropycriterion AT mengwang anadaptivechannelestimationbasedonfixedpointgeneralizedmaximumcorrentropycriterion AT pengchengyue adaptivechannelestimationbasedonfixedpointgeneralizedmaximumcorrentropycriterion AT huaqu adaptivechannelestimationbasedonfixedpointgeneralizedmaximumcorrentropycriterion AT jihongzhao adaptivechannelestimationbasedonfixedpointgeneralizedmaximumcorrentropycriterion AT mengwang adaptivechannelestimationbasedonfixedpointgeneralizedmaximumcorrentropycriterion |
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1724183675167309824 |