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...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2019-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8710239/ |
| _version_ | 1819276276006912000 |
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| author | Qishuai Wu Yingsong Li Zhengxiong Jiang Youwen Zhang |
| author_facet | Qishuai Wu Yingsong Li Zhengxiong Jiang Youwen Zhang |
| author_sort | Qishuai Wu |
| collection | DOAJ |
| description | 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 maximum correntropy criterion (GMCC) to devise the KMEC algorithm. The proposed KMEC is derived in the context of the kernel adaptive filter and it provides good performance for identifying the nonlinear channels in different mixed noise environments in terms of the mean square error (MSE) at its steady-state and convergence performance. |
| first_indexed | 2024-12-23T23:37:38Z |
| format | Article |
| id | doaj.art-64636fde5fdf433d8ba97de4e3b4b78d |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-23T23:37:38Z |
| publishDate | 2019-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-64636fde5fdf433d8ba97de4e3b4b78d2022-12-21T17:25:50ZengIEEEIEEE Access2169-35362019-01-017621076211410.1109/ACCESS.2019.29160038710239A Novel Hybrid Kernel Adaptive Filtering Algorithm for Nonlinear Channel EqualizationQishuai Wu0Yingsong Li1https://orcid.org/0000-0003-4175-8945Zhengxiong Jiang2Youwen Zhang3https://orcid.org/0000-0003-3056-4301College of Information and Communication Engineering, Harbin Engineering University, Harbin, ChinaCollege of Information and Communication Engineering, Harbin Engineering University, Harbin, ChinaCollege of Information and Communication Engineering, Harbin Engineering University, Harbin, ChinaAcoustic Science and Technology Laboratory, Harbin Engineering University, Harbin, ChinaIn 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 maximum correntropy criterion (GMCC) to devise the KMEC algorithm. The proposed KMEC is derived in the context of the kernel adaptive filter and it provides good performance for identifying the nonlinear channels in different mixed noise environments in terms of the mean square error (MSE) at its steady-state and convergence performance.https://ieeexplore.ieee.org/document/8710239/Kernel adaptive filteringmixed error criterion algorithmgeneralized maximum correntropynon-Gaussian noise environmentsnonlinear adaptive filtering |
| spellingShingle | Qishuai Wu Yingsong Li Zhengxiong Jiang Youwen Zhang A Novel Hybrid Kernel Adaptive Filtering Algorithm for Nonlinear Channel Equalization IEEE Access Kernel adaptive filtering mixed error criterion algorithm generalized maximum correntropy non-Gaussian noise environments nonlinear adaptive filtering |
| title | A Novel Hybrid Kernel Adaptive Filtering Algorithm for Nonlinear Channel Equalization |
| title_full | A Novel Hybrid Kernel Adaptive Filtering Algorithm for Nonlinear Channel Equalization |
| title_fullStr | A Novel Hybrid Kernel Adaptive Filtering Algorithm for Nonlinear Channel Equalization |
| title_full_unstemmed | A Novel Hybrid Kernel Adaptive Filtering Algorithm for Nonlinear Channel Equalization |
| title_short | A Novel Hybrid Kernel Adaptive Filtering Algorithm for Nonlinear Channel Equalization |
| title_sort | novel hybrid kernel adaptive filtering algorithm for nonlinear channel equalization |
| topic | Kernel adaptive filtering mixed error criterion algorithm generalized maximum correntropy non-Gaussian noise environments nonlinear adaptive filtering |
| url | https://ieeexplore.ieee.org/document/8710239/ |
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