A General Zero Attraction Proportionate Normalized Maximum Correntropy Criterion Algorithm for Sparse System Identification
文献类型：期刊论文
| 作者 | Li, Yingsong; Wang, Yanyan; Albu, Felix; Jiang, Jingshan; Li, YS (reprint author), Harbin Engn Univ, Coll Informat & Commun Engn, Harbin 150001, Heilongjiang, Peoples R China.; Li, YS (reprint author), Chinese Acad Sci, Natl Space Sci Ctr, Beijing 100190, Peoples R China. |
| 刊名 | SYMMETRY-BASEL
 |
| 出版日期 | 2017 |
| 卷号 | 9期号:10页码:229 |
| 关键词 | Adaptive Filter Normalized Maximum Correntropy Criterion Normalized Least Mean Square (Nlms) Proportionate Nlms (pNlms) Zero Attracting Impulsive Noise |
| ISSN号 | 2073-8994 |
| 英文摘要 | A general zero attraction (GZA) proportionate normalized maximum correntropy criterion (GZA-PNMCC) algorithm is devised and presented on the basis of the proportionate-type adaptive filter techniques and zero attracting theory to highly improve the sparse system estimation behavior of the classical MCC algorithm within the framework of the sparse system identifications. The newly-developed GZA-PNMCC algorithm is carried out by introducing a parameter adjusting function into the cost function of the typical proportionate normalized maximum correntropy criterion (PNMCC) to create a zero attraction term. The developed optimization framework unifies the derivation of the zero attraction-based PNMCC algorithms. The developed GZA-PNMCC algorithm further exploits the impulsive response sparsity in comparison with the proportionate-type-based NMCC algorithm due to the GZA zero attraction. The superior performance of the GZA-PNMCC algorithm for estimating a sparse system in a non-Gaussian noise environment is proven by simulations. |
| 语种 | 英语 |
| 资助机构 | National Key Research and Development Program of the China-Government Corporation Special Program [2016YFE0111100] ; Science and Technology innovative Talents Foundation of Harbin [2016RAXXJ044] ; Projects for the Selected Returned Overseas Chinese Scholars of Heilongjiang Province ; MOHRSS of China ; PhD Student Research and Innovation Fund of the Fundamental Research Funds for the Central Universities [HEUGIP201707] |
| 源URL | [http://ir.nssc.ac.cn/handle/122/6072]  |
| 专题 | 国家空间科学中心_微波遥感部 |
| 通讯作者 | Li, YS (reprint author), Harbin Engn Univ, Coll Informat & Commun Engn, Harbin 150001, Heilongjiang, Peoples R China.; Li, YS (reprint author), Chinese Acad Sci, Natl Space Sci Ctr, Beijing 100190, Peoples R China. |
| 推荐引用方式 GB/T 7714 | Li, Yingsong,Wang, Yanyan,Albu, Felix,et al. A General Zero Attraction Proportionate Normalized Maximum Correntropy Criterion Algorithm for Sparse System Identification[J]. SYMMETRY-BASEL,2017,9(10):229. |
| APA | Li, Yingsong,Wang, Yanyan,Albu, Felix,Jiang, Jingshan,Li, YS ,&Li, YS .(2017).A General Zero Attraction Proportionate Normalized Maximum Correntropy Criterion Algorithm for Sparse System Identification.SYMMETRY-BASEL,9(10),229. |
| MLA | Li, Yingsong,et al."A General Zero Attraction Proportionate Normalized Maximum Correntropy Criterion Algorithm for Sparse System Identification".SYMMETRY-BASEL 9.10(2017):229. |
入库方式： OAI收割
来源：国家空间科学中心
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